Home > Resources > Articles > Embrace Corporate Performance Management to Enhance Your Business

Embrace Corporate Performance Management to Enhance Your Business

Aashish Yadav | April 21, 2022 | 328 views

CPM Can Do It for Your Business

When it comes to improving business performance, quite a bit of jargon gets thrown around. Corporate performance management (CPM), for example, is often used to refer to business performance management and enterprise performance management, but these terms don't always refer to the same thing.


CPM improves a company's capability. It helps the company enhance three fundamental values: performance monitoring, information delivery, and performance effectiveness. These values assist in understanding, improving, and managing the business. Within an integrated ecosystem, a corporate performance management system coordinates the performance of managers, employees, customers, and suppliers. Information access and strategic planning are the foundations of corporate performance management.

3 Reasons Why You Need Corporate Performance Management (CPM)

In the era of exploding business intelligence, businesses need to embrace process automation. CPM may profoundly impact your team's productivity, coherence, insight, and more.

CPM functions are critical to the C-suite and the long-term success of an organization. As a result, several businesses have developed departments solely dedicated to strategy and performance management. Let's look at the top reasons why you should use CPM for your business.

Addressing Challenges in Financial Data

Compiling your financial data takes time. To see and organize your financial data easily and quickly, you can use CPM software to connect with your ERP system. This application will also make the finance team's job simpler. It will be easier to understand and manage the projected estimates and how important they are.

Real-time Feedback

Smart dashboards in business performance management or CPM software provide every quantifiable statistic that a management team will need to use in its decision-making. Even though there are so many different types of data, it can be a good thing to read and use it as changes happen in real-time in the company.

Streamlined Reporting

Most businesses have several individuals involved in performance management, right from C-level executives to back-office administrators. Although not everyone is actively participating in the performance management process, many users need access to and analysis of reports.

CPM technology for a business focuses on a single source of information or data. That is why it provides greater control over it. It also gives more control and security over the results that come out of the process.

Who Uses CPM?

Earlier, CPM was primarily used by businesses with more than 1,000 workers. However, due to the affordability and simplicity of next-generation CPM solutions, dynamic and ambitious organizations from the startup phase to the enterprise level are now utilizing them. This is one of the prime reasons for the rapid increase in the CPM software market.

Companies that sense an opportunity to grow, large businesses that operate globally, organizations that merge with others, and businesses that strive to improve company performance are the most likely to use CPM.

Overcoming the Corporate Performance Management Challenges

When a business imparts great performance management throughout the workplace, critical expectations and desired outcomes must be set. Also, this does not always go as planned. As a result, CPM presents significant challenges that need immediate attention, as stated below.

Strategic Alignment

This involves ensuring that all organizational processes and essential components, such as finances, project and program management, risk management, etc., align with the primary goal.

Smart Automation

A poorly implemented CPM will result in complete failure. To make sure that information can be easily integrated, processed, and reported to meet specific standards, a company should build an ICT infrastructure that is easy to use, complete, and appropriate.

Synchronization of Objectives

Businesses should not depend only on current tactics while neglecting to develop their own. Instead, they should focus on getting their main objectives out in the open so that CPM and all stakeholders are on the same page.

Things to Consider While Choosing a CPM Platform

Before investing in corporate performance management software, understand your team’s requirements. What manual tasks do they currently execute? What tools will the team require to keep pace with the growth of the company?

Here we have mentioned the top three things to consider while choosing a CPM platform for business.

Usability

You want your employees to be passionate about the platform and its potential; choose an option that will significantly enhance their day-to-day functioning. Involve your team in the process of choosing a platform so they can give their opinion on how easy it is to use.

A user-friendly and accessible CPM system will lead to successful training, deployment, and an instant ROI.

Integrations with Existing Tools

Make sure your new CPM system can integrate with your existing systems. You may want to import data from your ERP system, BI tools, and spreadsheets in real-time to save time and effort by copying and pasting data between applications. Manual data re-entry takes a lot of time and puts data at risk of being missed or entered incorrectly.

This integration is crucial if your business utilizes a data warehouse to integrate data from multiple cloud tools. To do more analysis, you can also export data from the CPM platform into models and spreadsheets and presentations and word documents.

Value to the Organization

The cheapest option is not always the best one for your business. Evaluate the value of the software to the team, leadership, and organization. How can the program improve efficiency, offer accurate business visibility, and assist with data-driven decisions? This is where value is measured.

Conclusion

Corporate performance management is the framework that connects your organizational objectives with planning, enabling successful strategy implementation. Investing in CPM software will increase a company's efficiency by handling a reasonably straightforward process. When employees are free from tiresome activities, they can be employed for something useful that will contribute to the company's development.

“The true measure of the value of any business leader and manager is performance.”

– Brian Tracy

Frequently Asked Questions


What Is the Role of CPM in Business?

CPM software, which was earlier used in finance departments, is now meant to be used enterprise-wide, usually complementing business intelligence systems. There are graphical scorecards and dashboards for displaying corporate information in the CPM software. Forecasting, budgeting, and planning are some of the features that come with the software.

What Are the Primary Corporate Performance Metrics?

CPM is an aspect of business intelligence (BI) that includes monitoring and controlling a company's performance based on key performance indicators (KPIs) such as revenue, ROI, overhead, and operational expenses.

What Is the Difference Between CPM and EPM?

CPM concentrates on delivering a company-wide performance management solution, especially for the organization's finance department. EPM focuses on the overall performance of the organization, going beyond the finance departments to sales, marketing, supply chain, and other areas.

Spotlight

Datawatch Corporation

Datawatch Corporation (NASDAQ-CM: DWCH) enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila. To learn more about Datawatch or download a free version of its enterprise software, please visit: www.datawatch.com.

OTHER ARTICLES
Business Strategy

Choose the Right BI Solution: Top Business Intelligence Companies

Article | April 4, 2022

Explore the top business intelligence and analytics solution providers and discover how these tailored and innovative BI solutions meet the unique needs of organizations across various sectors. Organizations constantly seek innovative solutions to unlock the power of their data and extract valuable insights. In this data-driven space, business intelligence and analytics solutions have become indispensable tools for navigating the complexities of data analysis. These BI solutions empower businesses to explore, analyze, and visualize their data, providing actionable insights, trend identification, and driving overall business success. This article delves into the realm of business intelligence and analytics, highlighting the key players in the industry and showcasing their distinct offerings and capabilities. From scalable analytics on big data platforms to interactive visualizations and real-time insights, these BI solutions cater to the diverse needs of organizations across various industries. With a wide array of solution providers to choose from, organizations have the opportunity to select the solution that best aligns with their unique requirements, enabling them to master BI and fully unleash the potential of their data resources. 1. Yellowfin BI Yellowfin BI is a prominent business intelligence solutions provider known for its user-friendly analytics platform. It sets itself apart by emphasizing simplicity and intuitive design, making it easy for users to navigate and leverage the power of analytics. The platform offers interactive dashboards, real-time data updates, and advanced data visualization tools. It also supports collaborative analytics and data storytelling, empowering users to create compelling narratives that communicate insights collectively. Furthermore, the mobile access feature ensures that users can stay connected to their data even while on the move, enabling timely decision-making. Data security is a top priority for Yellowfin BI, offering robust features such as role-based access controls and encryption. These measures ensure that data remains secure and protected throughout the analytics process. 2. GoodData GoodData is a leading business intelligence company, renowned for its cloud-based analytics platform. The platform offers a comprehensive range of features designed to meet the diverse needs of businesses. It seamlessly combines data integration, visualization, and reporting capabilities, allowing organizations to make sense of their data and derive valuable insights. GoodData excels in connecting with various data sources, whether internal or external and consolidating them into a unified view for analysis. Additionally, the platform goes beyond traditional analytics by providing robust tools and APIs that allow businesses to embed analytics directly into their applications or customer-facing portals. This seamless integration empowers users to access data insights within their existing workflows. Moreover, GoodData prioritizes data security and compliance, offering features such as role-based access controls, data encryption, and audit logs to protect sensitive information. 3. Pyramid Analytics Pyramid is a trusted business intelligence solutions provider. Its Decision Intelligence Platform offers a seamless and efficient decision-making environment. The AI-driven platform integrates data preparation, business analytics, and data science into a unified environment, enabling businesses to fully leverage their data assets and address challenges posed by data silos and disparate self-service analytics tools. Pyramid simplifies complex data landscapes by harnessing artificial intelligence to streamline decision-making processes. In addition, the platform strongly emphasizes enterprise-level collaboration and governance, offering a centralized hub for teams to collaborate, share insights, and ensure data consistency throughout the organization. 4. AtScale AtScale is a business intelligence company specializing in data virtualization and analytics. The company enables organizations to leverage the power of big data by creating a unified and simplified view of their data infrastructure. AtScale's unique offering lies in its ability to provide a semantic layer that abstracts the complexities of underlying data sources, making it easier for users to access and analyze data without requiring extensive technical skills. By virtualizing data, AtScale eliminates the need for data replication, reducing storage costs and ensuring data consistency across the organization. The platform supports a wide range of data platforms and cloud providers, allowing businesses to seamlessly connect and analyze data from various sources. AtScale also offers advanced analytics capabilities, including OLAP (Online Analytical Processing) and multidimensional analysis, empowering users to derive valuable insights from their data. 5. DataWeave DataWeave is an advanced Software-as-a-Service (SaaS) solutions provider that offers a digital commerce analytics platform for consumer brands and retailers. Through the platform’s digital shelf analytics capabilities, brands can effectively measure and optimize key performance indicators (KPIs) such as content audit, availability, share of search, promotions, and ratings. DataWeave also provides brand protection services, helping consumer brands maintain their brand integrity by monitoring Minimum Advertised Price (MAP) pricing and identifying counterfeit products in e-commerce channels. The platform's AI-powered pricing intelligence solution equips retailers with valuable insights to optimize their pricing strategies, improving margins and revenues. In addition, DataWeave's assortment analytics solution enables retailers to curate winning assortments, fostering customer loyalty, driving higher retention and repeat purchases. 6. Dimensional Insight Dimensional Insight is a renowned business intelligence software company that excels in providing tailored business intelligence and analytics solutions across diverse industries. Diver Platform, the company's flagship product, empowers users to seamlessly integrate, model, analyze, and visualize data from multiple sources. With a keen focus on industry-specific needs, Dimensional Insight offers specialized applications for healthcare, wine and spirits, manufacturing, and distribution sectors. These tailored solutions enable organizations to gain valuable insights and make informed business decisions. The Diver Platform enables users to easily create stunning reports and dashboards, explore data with a simple click, and share insights with others. It also has unique features such as no database requirement, data compression and optimization, and data integration from multiple sources and formats. 7. InetSoft InetSoft is a leading software company specializing in business intelligence and analytics solutions. Its web-based platform, InetSoft Style Intelligence, empowers users to effortlessly connect, transform, analyze, and visualize data from any source, enabling them to share valuable insights with others. Style Intelligence offers a range of powerful features, including data mashups, visual analytic dashboards, document reporting, self-service analytics, embedded analytics, and seamless integration with machine learning. The platform offers intelligent and personalized insights and recommendations by leveraging AI and ML. Moreover, InetSoft Style Intelligence is designed to be embedded and OEM-friendly, offering multi-tenant hosting, white-labeling, and flexible licensing models. With its versatility, the platform caters to various industries and use cases, such as sales and marketing, finance, operations, healthcare, education, and more. 8. 1010data 1010data is a leading business intelligence company that empowers organizations with advanced data insights and capabilities. The platform offers a comprehensive suite of tools specifically designed to handle large and complex datasets, equipping users with the ability to analyze, visualize, and derive meaningful insights from their data. 1010data can efficiently manage massive volumes of data, enabling users to explore and analyze information swiftly and effectively. The platform also provides a powerful set of data querying and transformation capabilities, allowing users to manipulate and refine data to suit their specific analysis needs. Additionally, 1010data's platform supports advanced analytics techniques, such as predictive modeling and machine learning. Collaborative features are another key aspect of the platform, enabling users can easily collaborate on data analysis projects, share insights, and generate reports to facilitate effective decision-making processes. 9. Kyvos Insights Kyvos Insights is a business intelligence solutions provider specializing in scalable and high-performance analytics on big data platforms. Kyvos offers a unique approach to data analysis by leveraging Massively Parallel Processing (MPP) architecture and in-memory technology to deliver interactive and multidimensional analytics on large volumes of data. Users can explore data from various angles and dimensions without compromising performance, gaining valuable insights quickly. The platform seamlessly integrates with popular big data platforms like Hadoop and Snowflake, allowing organizations to leverage their existing data infrastructure. Kyvos Insights' advanced analytics features, such as Online Analytical Processing (OLAP), drill-downs, and data slicing, empower users to delve deep into their data and uncover valuable business trends. Moreover, Kyvos Insights offers a user-friendly interface with self-service analytics capabilities, empowering business users to explore and visualize data intuitively. 10. TARGIT TARGIT is a prominent software company specializing in accessible business intelligence and analytics solutions, recognized by its TARGIT Decision Suite. This suite facilitates simplified data utilization, catering to a diverse clientele. TARGIT empowers customers to enhance decision-making for improved profitability, productivity, and competitiveness by translating data into actionable insights. The company leverages its industry expertise and customer insights to solidify its foundation, thereby effectively translating intelligence into impactful decisions with a proven record of tangible business value. Its emphasis on cost-effectiveness ensures low Total Cost of Ownership (TCO), offering enduring value to customers and their organizations. Final Thoughts The landscape of business intelligence and analytics solutions is vast and constantly evolving as companies strive to harness the full potential of data for organizations. This article showcases the top business intelligence companies in the industry that offer tailored solutions to meet the unique needs of various sectors. These business intelligence companies deliver innovative and robust solutions that empower businesses to extract valuable insights from their data resources. With a strong commitment to user-friendly interfaces and powerful functionalities, they enable organizations to gain a competitive edge in the market. As businesses navigate the complexities of data analysis, the expertise and offerings of these top business intelligence companies become invaluable. Through their tools and technologies, organizations can unlock the true potential of their data, identify growth opportunities, and make informed decisions that drive success.Explore the top business intelligence and analytics solution providers and discover how these tailored and innovative BI solutions to meet the unique needs of organizations across various sectors.

Read More
Business Strategy

Leveraging Big Data for Competitive Advantage: Benefits

Article | May 31, 2022

Big Data has grown more valuable, helping businesses grow with features like real-time insights and enhanced decision-making; investing in a data strategy helps to stay ahead of the competition. Contents 1. Introduction 2. Leveraging Big Data for Competitive Edge and Sales Growth 3. Benefits of Big Data Analytics in Businesses 3.1 Improved Customer Insights 3.2 Enhanced Operational Efficiency 3.3 Better Decision-Making 3.4 New Product Development 3.5 Competitive Intelligence and Market Research 4. The Path Ahead 1. Introduction The benefits of big data for organizations have amplified with the advent of digital transformation and the prevalence of cloud technology, the Internet of Things (IoT), and ubiquitous internet access. A comprehensive data strategy has become a prerequisite for organizations to retain their competitive edge and leverage big data's advantages. Data analytics is widely employed across different industries and departments, including finance, human resources, and online retail, to glean insights into customer behavior and identify fraudulent activities. In addition, big data in business assumes a critical role in furthering social good by facilitating the monitoring of emissions and pollutants, aiding against climate change. 2. Leveraging Big Data for Competitive Edge and Sales Growth Big data is vital for companies seeking to gain a competitive edge and foster innovation in the current business landscape. By leveraging big data, companies can quickly extract valuable insights from vast amounts of data. This requires investments in tools & technologies, and skilled data analysts & scientists. With a robust big data strategy in place, companies optimize operations, identify new opportunities, and drive innovation. Furthermore, data analytics plays a crucial role in boosting sales by providing insights into customer behavior, preferences, and buying patterns. Companies can optimize their marketing, pricing, and product placement strategies through data analysis, thus leading to increased revenue. Real-time data enables businesses to adapt to market changes quickly, improving their agility and competitiveness. Therefore, developing data analytics capabilities is imperative for businesses to stay ahead and gain a competitive edge. 3. Benefits of Big Data Analytics in Businesses 3.1 Improved Customer Insights Big data has revolutionized how businesses gain a competitive edge through data analytics, offering improved customer insights by analyzing their behavior, preferences, and sentiment toward products. As a result, companies personalize experiences, segment audiences, map customer journeys, and enhance satisfaction. By analyzing data from multiple sources, companies create a 360-degree view of their customers and offer targeted marketing campaigns. 3.2 Enhanced Operational Efficiency Big data improves operational efficiency through predictive maintenance, supply chain optimization, and fraud detection. Predictive maintenance reduces downtime and increases productivity by identifying potential equipment failures. Supply chain optimization streamlines logistics processes, reducing shipping times and costs. Fraud detection identifies and prevents fraudulent activities, protecting businesses from financial losses. 3.3 Better Decision-Making Data-driven decision-making is one of the benefits of using big data, as it provides real-time insights into market trends, customer preferences, and key performance indicators. This helps companies make informed decisions to drive growth and success. Additionally, big data improves decision-making by providing real-time analytics for risk assessment and management, allowing businesses to identify and mitigate potential risks before they become major issues. 3.4 New Product Development Big data uses in businesses enable creation of innovative products and services by analyzing customer feedback and market trends. By gaining insights into customer needs and preferences, businesses identify new opportunities and optimize & innovate their products. 3.5 Competitive Intelligence and Market Research Big data is helpful in providing competitive intelligence and market research. Social listening is a way for businesses to use big data to gain insights into customer sentiment, preferences, and behavior. By analyzing conversations on social media, companies can identify areas for improvement and create effective marketing campaigns. Competitor analysis is another crucial use case for big data in business. By analyzing data on competitors' strategies, businesses can adjust their own strategies and gain a competitive edge. For example, companies can optimize their offerings by tracking competitors' pricing strategies, marketing tactics, and product offerings. 4. The Path Ahead With the continuous evolution of technology, the benefits of big data in business have become increasingly significant in day-to-day operations. The proliferation of digital transformation has provided companies with access to an overwhelming amount of data. In order to maintain a competitive edge, it is imperative for organizations to establish a comprehensive data strategy. However, merely collecting data is insufficient to leverage the potential of big data fully. Companies must possess the necessary tools and expertise to analyze and interpret it. This necessitates investment in advanced analytics tools, as well as the recruitment of data scientists and analysts who can extract valuable insights from the data.

Read More
Business Strategy

Mastering BI: Key Business Intelligence Events to Attend in 2023

Article | July 22, 2022

Explore top business intelligence events in 2023 to leverage unparalleled networking opportunities, engaging discussions, and cutting-edge technologies. Stay ahead and unlock the true potential of BI. The ability to harness data and make informed decisions has become paramount for success in the increasingly data-driven world. To stay ahead of the curve and leverage the power of data, professionals in this field must actively engage in continuous learning, networking, and exploring the latest trends and technologies. Fortunately, there are numerous business intelligence conferences and events that cater specifically to the needs of business intelligence professionals. These gatherings provide industry experts, thought leaders and practitioners a platform to share their knowledge, exchange ideas, and showcase cutting-edge solutions. This article will explore a curated list of top BI events to attend for business intelligence and analytics professionals. These events are designed to empower professionals in their journey toward data-driven excellence. Delve into the world of business intelligence and analytics and uncover the key features and benefits of each event. 1.2023 International Conference on Business Analytics for Operations Excellence & Resilience (BAOER 2023) July 15 - 17, 2023 | Singapore BAOER (Business Analytics for Operations Excellence & Resilience) is a highly anticipated annual meeting that serves as a premier platform for industry professionals, researchers, and practitioners to gather and explore the latest advancements in business analytics. The event encompasses various engaging activities, including keynote talks, invited talks, oral presentations, poster presentations, and online sessions. One of the distinguishing features of BAOER is its commitment to quality and academic rigor. The conference invites submissions of papers and abstracts on various topics related to business analytics for Operations Excellence & Resilience, which undergo a meticulous peer-review process by the esteemed Conference Technical Program Committee. Accepted papers are not only presented at the conference but also hold the opportunity to be published in the prestigious International Conference Proceedings. By bringing together a diverse group of authors and speakers from across nations and regions, BAOER fosters a vibrant exchange of ideas and fresh perspectives. Attendees can delve into both theoretical and practical aspects of Operations Excellence & Resilience, gaining valuable insights and building fruitful connections. 2.Melbourne Business Analytics Conference August 2, 2023 | Melbourne (Australia) In today's fast-paced world, where AI and automation play a pivotal role, businesses must adapt and embrace data and digital transformation to remain competitive. With this in mind, Melbourne Business Analytics Conference is, focused on the compelling theme of 'Leading the way: Navigating Data and Digital Transformation in the Age of AI & Automation.' This highly anticipated event will bring together esteemed analytics academics, executives, and practitioners from around the globe. The program will feature a lineup of distinguished speakers who will share their cutting-edge research, real-world experiences, and success stories. Over 600 board members, senior executives, and industry professionals will converge for a power-packed, one-day conference. It will serve as an exceptional platform for knowledge-sharing and networking opportunities. The conference aims to equip Australian businesses with the tools and insights needed to gain a distinctive advantage by harnessing the trilingual insights of business, technology, and mathematics. Participants can expect to immerse themselves in the latest advancements in Machine Learning, AI, and advanced Data Analytics business applications. These valuable insights will help organizations optimize their strategies, drive innovation, and make data-driven decisions. 3.OSU Business Analytics Conference 2023 October 4 - 5, 2023 | Portland (Oregon) Prepare to embark on a unique learning journey at the 4th annual Business Analytics Conference hosted by the Oregon State Center for Business Analytics. This in-person event offers an unparalleled experience, allowing participants to learn from esteemed analytics experts in a dynamic combination of hands-on activities and engaging lectures. This year's conference will strongly emphasize on AI trends, forthcoming technical breakthroughs, innovative applications of AI, and the implications and opportunities it presents for businesses. The panel sessions will feature industry experts alongside faculty members from the College of Business, Engineering, and Liberal Arts. This diverse range of perspectives ensures a comprehensive exploration of the subject matter. Gain invaluable insights into integrating AI programs into your daily operations & long-term planning, along with the growing impact of AI on business strategies, operations, and the workforce. The event will serve as a platform for stimulating discussions around the changes and opportunities that AI can bring and equip organizations with the knowledge and readiness required to navigate the AI landscape effectively. 4.Future Data Driven Summit 2023 September 27, 2023 | Online The Future Data Driven Summit is a prestigious online event that centers around the Microsoft Data Platform, offering attendees an unparalleled opportunity to stay updated on the latest developments in the field. This highly anticipated summit aims to provide valuable insights and knowledge pertaining to Data & AI, DevOps, PowerBI & Visualization, Integration & Automation, and cloud infrastructure. Catering to a diverse audience of IT professionals, data engineers & analysts, data scientists, AI & machine learning engineers, business analysts, and developers, the Future Data Driven Summit will ensure that each participant can derive immense value from the event. With its comprehensive range of topics and sessions, this summit will cater to the needs and interests of professionals across various domains within the data ecosystem. Attendees will be privileged to engage in informative sessions led by subject matter experts, witness hands-on demos of cutting-edge technologies, and gain profound insights from industry leaders' keynote speeches. By participating in these activities, attendees can expand their knowledge base, enhance their skill sets, and stay abreast of the latest trends and advancements in the Microsoft Data Platform. 5.TDWI Executive Summit for Analytics August 7 - 8, 2023 | San Diego (California) The TDWI Executive Summit for Analytics is an interactive and highly curated event specifically designed for business leaders, data science professionals, and IT executives who bear the responsibility of selecting, managing, and extracting value from analytics applications, AI/ML, business intelligence, and the underlying data that powers them. Organizations today constantly rely on analytics to drive innovation, attract and retain customers, improve operational efficiency, and effectively manage risk. However, TDWI has identified a common challenge many organizations face—struggling to progress in their analytics journey. These difficulties often result in user frustration, errors, and increased costs. By attending the TDWI Executive Summit for Analytics, participants can acquire invaluable knowledge on accelerating their analytics journey and achieving optimal business outcomes. The event places a specific focus on deriving the highest value from data assets through analytics and AI/ML into strategies for fostering stakeholder collaboration and effectively scaling analytics and AI/ML initiatives, including the implementation of MLOps—a methodology for managing the machine learning lifecycle. Additionally, the summit will explore emerging trends and technologies, such as generative AI, enabling attendees to stay ahead of the curve. 6.Business Intelligence & Analytics Conference Europe November 7 - 10, 2023 | London (UK) The Business Intelligence & Analytics Conference Europe presents a unique and immersive four-day experience focused on learning and networking. This exceptional business intelligence event offers attendees unparalleled opportunities to connect and collaborate with professionals from Europe and beyond. The conference will encompass five tracks and hosts over 45 sessions, ensuring a comprehensive and diverse range of topics to explore. Through a myriad of fascinating case studies, attendees can learn from various organizations' past successes and challenges. This firsthand knowledge-sharing provides invaluable practical insights that can be applied in real-world scenarios. Broadening knowledge and gaining insights from internationally renowned experts is a key highlight of the event. These experts bring their wealth of experience and expertise to the forefront, sharing innovative approaches and best practices that can drive success in business intelligence and analytics. A notable roster of esteemed organizations participated in the previous year's conference edition. Among notable names were Aizonic, Allianz, AstraZeneca, Bank of England, Dufrain, Volva Penta and many more. The presence of such esteemed organizations further reinforces the conference's credibility and significance within the industry. 7.Data & Analytics Live July 25, 2023 | Online Data & Analytics Live is a highly immersive event that brings a multitude of data and analytics professionals from across North America, offering a full day of learning, networking, and collaboration, catering to newcomers to the field and seasoned industry leaders. Attendees can expect to gain valuable insights and takeaways from renowned speakers sharing their insights into the solutions required to address the most pressing challenges faced by the data and analytics community. These thought leaders will provide invaluable perspectives and expertise, guiding participants toward effective strategies and innovative approaches. One of the key highlights of Data & Analytics Live is the opportunity to discover the latest trends and solutions provided by leading industry providers. Navigating uncharted territory in the data and analytics landscape can be complex, but this event will equip attendees with the knowledge and resources to navigate confidently. Data & Analytics Live will offer a glimpse into how data and analytics are revolutionizing businesses across industries and serves as a unique platform to interact with industry leaders, influential technologists, and pioneering data scientists shaping the future of data and analytics. 8.Customer Analytics Summit September 10 - 12, 2023 | Jersey City (New Jersey) The Customer Analytics Summit is an exciting event designed specifically for professionals in the data and customer insights community. Tailored to address the most pertinent issues in this field, the summit provides a unique opportunity to gain insights from highly successful leaders in data and customer insights. This event will offer an authentic peer-to-peer learning experience, fostering meaningful exchanges among professionals who understand the challenges and opportunities within the data and analytics space. The Customer Analytics Summit showcases renowned industry leaders who will share their expertise and experiences in maximizing the potential of data-driven insights. Attendees will discover how these leaders have harnessed data-driven, actionable insights to unlock exceptional customer value. In addition to insightful presentations, the summit will also provide focused individual discussion groups. These groups offer a platform for in-depth conversations on topics currently shaping the data and analytics landscape. Moreover, the summit will include interactive workshops that provide hands-on training on the latest tools, techniques, and strategies in data and analytics. The Customer Analytics Summit is a must-attend event for professionals seeking to stay at the forefront of the data and customer insights industry. 9.BI Innovation & Tech Fest September 18 - 19, 2023 | Sandton (South Africa) The business intelligence, analytics, and data environment is undergoing an extraordinary transition in today's rapidly evolving world. In this context, the annual BI Innovation & Tech Fest stands out as a premier event that celebrates and empowers individuals passionate about driving innovation in the business intelligence function from multiple perspectives - people, processes, and technology. This extraordinary BI event will provide attendees with a world-class experience, offering an unparalleled agenda that covers a wide range of topics critical to the industry. Whether exploring the latest advancements in AI and machine learning applied to business intelligence, mastering data reporting, visualization, and time analytics or delving into cloud-based BI and self-service BI, the event will present a comprehensive platform to stay ahead of the curve. One of the highlights of BI Innovation & Tech Fest is its emphasis on creating opportunities for networking and collaboration. Attendees will gain access to leading partners and vendors in the business intelligence space, providing valuable insights into cutting-edge technologies, tools, and solutions. The event will foster an environment where professionals can exchange ideas, forge new connections, and engage in meaningful conversations that drive innovation and excellence. 10.Big Data LDN (London) September 20-21, 2023 | Olympia London Big Data LDN (London) is the preeminent free-to-attend conference and exhibition in the UK, dedicated to data, analytics, and AI. With a host of renowned experts in these fields, the event equips attendees with the necessary tools to drive their most effective data-driven strategies. It will bring together over 180 leading technology vendors and consultants, providing a platform for in-depth discussions about business requirements and the latest advancements in the industry. One of the event's key highlights is the opportunity to hear from 300 expert speakers across 15 technical and business-led conference theatres. These speakers will present real-world use cases, share insights, and engage in panel debates, providing attendees with valuable knowledge and practical examples to apply in their organizations. In addition, the event offer exceptional networking opportunities, allowing attendees to connect with their peers, industry experts, and thought leaders. This networking aspect is invaluable for fostering collaborations, exchanging ideas, and building relationships to drive future field success. Big Data LDN goes well beyond the conference sessions and exhibitions by offering free on-site data consultancy services. Conclusion Business intelligence and analytics are evolving unprecedentedly, driven by technological advancements, data availability, and the growing need for data-driven decision-making. Attending industry conferences and events is crucial for professionals in this field to stay abreast of the latest trends, learn from experts, network with peers, and discover innovative solutions. Attending these top business intelligence events allows professionals to gain the knowledge, skills, and connections necessary to excel in their roles. These conferences provide a platform for sharing ideas, learning best practices, and exploring the latest advancements in the field. They serve as catalysts for growth, enabling individuals to unlock the full potential of data and analytics in their organizations. In this era of data-driven decision-making, seize the opportunities, and embark on a journey of continuous learning and professional development through these top business intelligence events in the BI and analytics domain.

Read More
Business Intelligence, Big Data Management, Big Data

Implementing Data Analytics: Emerging Big Data Tools in 2023

Article | July 10, 2023

Discover the prominent big data analytics tools in 2023 and unlock the full potential of big data. Leverage data-driven decision-making to gain insights and implement strategies to accelerate growth. Adopting Big Data Analytics Tools In the current data-driven world, organizations increasingly recognize the value of data analytics in driving businesses’ success. As the volume and complexity of data continue to grow, staying at the forefront of data analytics tools and technologies becomes crucial for businesses to gain actionable insights and make informed decisions. As we delve into 2023, it becomes paramount for businesses to keep pace with emerging cutting-edge big data tools. These tools serve as catalysts for enterprises to harness the power of data analytics effectively. By adopting the right tools and technologies, organizations gain a competitive advantage, foster innovation, and make data-driven decisions that accelerate their growth in an ever-evolving digital landscape. This article delves into the realm of data analytics and explores the emerging big data analytics tools poised to have a significant impact in 2023. From sophisticated machine learning algorithms that push the boundaries of analysis to robust data visualization platforms that bring insights to life, these tools present captivating opportunities for organizations to unlock the full potential of their data and derive actionable intelligence. Exploring Key Trends and Emerging Tools One of the key trends in the data analytics landscape is the rise of cloud-based analytics platforms. These platforms provide scalability, flexibility, and accessibility, allowing businesses to leverage the power of distributed computing and storage for their data analysis needs. With cloud-based tools, organizations can easily process and analyze large volumes of data without significant infrastructure investments. Another emerging trend is integrating artificial intelligence and machine learning into data analytics workflows. AI-powered analytics tools enable businesses to automate data processing, uncover hidden patterns, and generate predictive insights. ML algorithms can learn from vast amounts of data, continuously improving accuracy and enabling organizations to make data-driven decisions with precision. Furthermore, big data visualization tools are becoming increasingly sophisticated, enabling users to transform intricate data into interactive visual representations. These tools facilitate enhanced comprehension and interpretation of data, allowing stakeholders to swiftly extract insights with efficacy. Moreover, the convergence of big data and internet of things (IoT) technologies is creating new opportunities. As IoT devices generate vast amounts of data, organizations can leverage tools for big data analytics to capture, store, and analyze this data, uncovering valuable insights and driving innovation in various industries. Top Big Data Tools to Lookout For: 1. Talend Data Fabric Cloud Integration Software by Talend Talend Data Fabric is an integrated data management and governance platform that enables organizations to access, transform, move and synchronize big data across the enterprise. It provides a comprehensive suite of tools and technologies to address data integration, quality, governance, and stewardship challenges. The platform allows users to access and work with data, regardless of location or format, whether in traditional databases, data lakes, cloud environments, or even in real-time streaming sources. This flexibility empowers organizations to leverage their data assets more effectively and make data-driven decisions. 2. Alteryx Platform Predictive Analytics Software by Alteryx Alteryx is a user-friendly data analytics platform that enables efficient processing and analysis of large datasets. It empowers users to quickly derive valuable insights from data without extensive coding skills. Alteryx facilitates the automation of analytics tasks at scale and enables intelligent decision-making across the organization. The platform provides a comprehensive set of tools, including automated data preparation, analytics, machine learning capabilities, and AI-generated insights. Its intuitive interface enables seamless data access from diverse sources like databases, cloud-based data warehouses, and spreadsheets. Alteryx simplifies data blending and preparation from multiple sources, ensuring high-quality and analysis-ready data for enhanced decision-making. 3. Adverity Data Integration Platform Adverity is a comprehensive data platform that automates data connectivity, transformation, governance, and utilization at scale. It simplifies the arduous task of cleansing and merging data from diverse sources, encompassing sales, finance, and marketing channels, to establish a reliable source of business performance information. The platform seamlessly integrates with multiple databases and cloud-based software, providing access to previously inaccessible data. Adverity empowers users to efficiently analyze incoming data from any source and format, facilitating the discovery of patterns, trends, and correlations. Its robust dashboard enables real-time interaction with data, empowering businesses to make faster, smarter decisions. 4. GoodData Cloud BI and Analytics Platform GoodData is an advanced cloud-based analytics platform that offer intuitive and user-friendly tools for data analysis, embeddable data visualizations, and seamless application integration solutions. Its API-first approach enables users to effortlessly aggregate, analyze, and visualize its data in real time, facilitating swift and effective decision-making. In addition, the platform's microservice-based architecture integrates seamlessly with existing ecosystems, providing a comprehensive end-to-end data analytics solution. With its scalable architecture and straightforward setup, GoodData is an excellent choice for businesses seeking powerful insights without expensive infrastructure investments. 5. Datameer Data Preparation Tool Datameer is an advanced analytics and data science platform designed to help businesses quickly discover insights in their enterprise data. It enables users to connect to multiple data sources effortlessly, employing a user-friendly drag-and-drop interface to transform data and create interactive visualizations and dashboards. The platform also offers access to various analytics tools, including predictive analytics and machine learning algorithms. By simplifying the data exploration process, Datameer provides an intuitive and robust environment for loading, storing, querying, and manipulating data from any source. This streamlined approach aids businesses in reducing time-to-insight by revealing previously concealed relationships and trends. Final Thoughts In the dynamic and data-intensive landscape of 2023, organizations must prioritize the integration of data analytics and adopting emerging big data tools. Adopting emerging tools for big data analytics empowers organizations to seamlessly collect, store, process, and analyze vast volumes of data in real time, providing valuable insights and enabling timely decision-making. However, to fully capitalize on the benefits of these tools, organizations must invest in skilled data professionals who can adeptly leverage these tools to extract meaningful insights. Data literacy and cultivating a data-driven culture within the organization are pivotal components for success in the data-driven landscape of 2023. Organizations can thrive in the ever-evolving realm of data analytics by fostering an environment where data is valued and utilized to drive business outcomes.

Read More
Business Strategy

Importance of Encryption in the Business World

Article | April 4, 2022

Explore the top business intelligence and analytics solution providers and discover how these tailored and innovative BI solutions meet the unique needs of organizations across various sectors. Organizations constantly seek innovative solutions to unlock the power of their data and extract valuable insights. In this data-driven space, business intelligence and analytics solutions have become indispensable tools for navigating the complexities of data analysis. These BI solutions empower businesses to explore, analyze, and visualize their data, providing actionable insights, trend identification, and driving overall business success. This article delves into the realm of business intelligence and analytics, highlighting the key players in the industry and showcasing their distinct offerings and capabilities. From scalable analytics on big data platforms to interactive visualizations and real-time insights, these BI solutions cater to the diverse needs of organizations across various industries. With a wide array of solution providers to choose from, organizations have the opportunity to select the solution that best aligns with their unique requirements, enabling them to master BI and fully unleash the potential of their data resources. 1. Yellowfin BI Yellowfin BI is a prominent business intelligence solutions provider known for its user-friendly analytics platform. It sets itself apart by emphasizing simplicity and intuitive design, making it easy for users to navigate and leverage the power of analytics. The platform offers interactive dashboards, real-time data updates, and advanced data visualization tools. It also supports collaborative analytics and data storytelling, empowering users to create compelling narratives that communicate insights collectively. Furthermore, the mobile access feature ensures that users can stay connected to their data even while on the move, enabling timely decision-making. Data security is a top priority for Yellowfin BI, offering robust features such as role-based access controls and encryption. These measures ensure that data remains secure and protected throughout the analytics process. 2. GoodData GoodData is a leading business intelligence company, renowned for its cloud-based analytics platform. The platform offers a comprehensive range of features designed to meet the diverse needs of businesses. It seamlessly combines data integration, visualization, and reporting capabilities, allowing organizations to make sense of their data and derive valuable insights. GoodData excels in connecting with various data sources, whether internal or external and consolidating them into a unified view for analysis. Additionally, the platform goes beyond traditional analytics by providing robust tools and APIs that allow businesses to embed analytics directly into their applications or customer-facing portals. This seamless integration empowers users to access data insights within their existing workflows. Moreover, GoodData prioritizes data security and compliance, offering features such as role-based access controls, data encryption, and audit logs to protect sensitive information. 3. Pyramid Analytics Pyramid is a trusted business intelligence solutions provider. Its Decision Intelligence Platform offers a seamless and efficient decision-making environment. The AI-driven platform integrates data preparation, business analytics, and data science into a unified environment, enabling businesses to fully leverage their data assets and address challenges posed by data silos and disparate self-service analytics tools. Pyramid simplifies complex data landscapes by harnessing artificial intelligence to streamline decision-making processes. In addition, the platform strongly emphasizes enterprise-level collaboration and governance, offering a centralized hub for teams to collaborate, share insights, and ensure data consistency throughout the organization. 4. AtScale AtScale is a business intelligence company specializing in data virtualization and analytics. The company enables organizations to leverage the power of big data by creating a unified and simplified view of their data infrastructure. AtScale's unique offering lies in its ability to provide a semantic layer that abstracts the complexities of underlying data sources, making it easier for users to access and analyze data without requiring extensive technical skills. By virtualizing data, AtScale eliminates the need for data replication, reducing storage costs and ensuring data consistency across the organization. The platform supports a wide range of data platforms and cloud providers, allowing businesses to seamlessly connect and analyze data from various sources. AtScale also offers advanced analytics capabilities, including OLAP (Online Analytical Processing) and multidimensional analysis, empowering users to derive valuable insights from their data. 5. DataWeave DataWeave is an advanced Software-as-a-Service (SaaS) solutions provider that offers a digital commerce analytics platform for consumer brands and retailers. Through the platform’s digital shelf analytics capabilities, brands can effectively measure and optimize key performance indicators (KPIs) such as content audit, availability, share of search, promotions, and ratings. DataWeave also provides brand protection services, helping consumer brands maintain their brand integrity by monitoring Minimum Advertised Price (MAP) pricing and identifying counterfeit products in e-commerce channels. The platform's AI-powered pricing intelligence solution equips retailers with valuable insights to optimize their pricing strategies, improving margins and revenues. In addition, DataWeave's assortment analytics solution enables retailers to curate winning assortments, fostering customer loyalty, driving higher retention and repeat purchases. 6. Dimensional Insight Dimensional Insight is a renowned business intelligence software company that excels in providing tailored business intelligence and analytics solutions across diverse industries. Diver Platform, the company's flagship product, empowers users to seamlessly integrate, model, analyze, and visualize data from multiple sources. With a keen focus on industry-specific needs, Dimensional Insight offers specialized applications for healthcare, wine and spirits, manufacturing, and distribution sectors. These tailored solutions enable organizations to gain valuable insights and make informed business decisions. The Diver Platform enables users to easily create stunning reports and dashboards, explore data with a simple click, and share insights with others. It also has unique features such as no database requirement, data compression and optimization, and data integration from multiple sources and formats. 7. InetSoft InetSoft is a leading software company specializing in business intelligence and analytics solutions. Its web-based platform, InetSoft Style Intelligence, empowers users to effortlessly connect, transform, analyze, and visualize data from any source, enabling them to share valuable insights with others. Style Intelligence offers a range of powerful features, including data mashups, visual analytic dashboards, document reporting, self-service analytics, embedded analytics, and seamless integration with machine learning. The platform offers intelligent and personalized insights and recommendations by leveraging AI and ML. Moreover, InetSoft Style Intelligence is designed to be embedded and OEM-friendly, offering multi-tenant hosting, white-labeling, and flexible licensing models. With its versatility, the platform caters to various industries and use cases, such as sales and marketing, finance, operations, healthcare, education, and more. 8. 1010data 1010data is a leading business intelligence company that empowers organizations with advanced data insights and capabilities. The platform offers a comprehensive suite of tools specifically designed to handle large and complex datasets, equipping users with the ability to analyze, visualize, and derive meaningful insights from their data. 1010data can efficiently manage massive volumes of data, enabling users to explore and analyze information swiftly and effectively. The platform also provides a powerful set of data querying and transformation capabilities, allowing users to manipulate and refine data to suit their specific analysis needs. Additionally, 1010data's platform supports advanced analytics techniques, such as predictive modeling and machine learning. Collaborative features are another key aspect of the platform, enabling users can easily collaborate on data analysis projects, share insights, and generate reports to facilitate effective decision-making processes. 9. Kyvos Insights Kyvos Insights is a business intelligence solutions provider specializing in scalable and high-performance analytics on big data platforms. Kyvos offers a unique approach to data analysis by leveraging Massively Parallel Processing (MPP) architecture and in-memory technology to deliver interactive and multidimensional analytics on large volumes of data. Users can explore data from various angles and dimensions without compromising performance, gaining valuable insights quickly. The platform seamlessly integrates with popular big data platforms like Hadoop and Snowflake, allowing organizations to leverage their existing data infrastructure. Kyvos Insights' advanced analytics features, such as Online Analytical Processing (OLAP), drill-downs, and data slicing, empower users to delve deep into their data and uncover valuable business trends. Moreover, Kyvos Insights offers a user-friendly interface with self-service analytics capabilities, empowering business users to explore and visualize data intuitively. 10. TARGIT TARGIT is a prominent software company specializing in accessible business intelligence and analytics solutions, recognized by its TARGIT Decision Suite. This suite facilitates simplified data utilization, catering to a diverse clientele. TARGIT empowers customers to enhance decision-making for improved profitability, productivity, and competitiveness by translating data into actionable insights. The company leverages its industry expertise and customer insights to solidify its foundation, thereby effectively translating intelligence into impactful decisions with a proven record of tangible business value. Its emphasis on cost-effectiveness ensures low Total Cost of Ownership (TCO), offering enduring value to customers and their organizations. Final Thoughts The landscape of business intelligence and analytics solutions is vast and constantly evolving as companies strive to harness the full potential of data for organizations. This article showcases the top business intelligence companies in the industry that offer tailored solutions to meet the unique needs of various sectors. These business intelligence companies deliver innovative and robust solutions that empower businesses to extract valuable insights from their data resources. With a strong commitment to user-friendly interfaces and powerful functionalities, they enable organizations to gain a competitive edge in the market. As businesses navigate the complexities of data analysis, the expertise and offerings of these top business intelligence companies become invaluable. Through their tools and technologies, organizations can unlock the true potential of their data, identify growth opportunities, and make informed decisions that drive success.Explore the top business intelligence and analytics solution providers and discover how these tailored and innovative BI solutions to meet the unique needs of organizations across various sectors.

Read More
Business Strategy

Maximize ROI with Marketing Analytics Technology

Article | May 31, 2022

Big Data has grown more valuable, helping businesses grow with features like real-time insights and enhanced decision-making; investing in a data strategy helps to stay ahead of the competition. Contents 1. Introduction 2. Leveraging Big Data for Competitive Edge and Sales Growth 3. Benefits of Big Data Analytics in Businesses 3.1 Improved Customer Insights 3.2 Enhanced Operational Efficiency 3.3 Better Decision-Making 3.4 New Product Development 3.5 Competitive Intelligence and Market Research 4. The Path Ahead 1. Introduction The benefits of big data for organizations have amplified with the advent of digital transformation and the prevalence of cloud technology, the Internet of Things (IoT), and ubiquitous internet access. A comprehensive data strategy has become a prerequisite for organizations to retain their competitive edge and leverage big data's advantages. Data analytics is widely employed across different industries and departments, including finance, human resources, and online retail, to glean insights into customer behavior and identify fraudulent activities. In addition, big data in business assumes a critical role in furthering social good by facilitating the monitoring of emissions and pollutants, aiding against climate change. 2. Leveraging Big Data for Competitive Edge and Sales Growth Big data is vital for companies seeking to gain a competitive edge and foster innovation in the current business landscape. By leveraging big data, companies can quickly extract valuable insights from vast amounts of data. This requires investments in tools & technologies, and skilled data analysts & scientists. With a robust big data strategy in place, companies optimize operations, identify new opportunities, and drive innovation. Furthermore, data analytics plays a crucial role in boosting sales by providing insights into customer behavior, preferences, and buying patterns. Companies can optimize their marketing, pricing, and product placement strategies through data analysis, thus leading to increased revenue. Real-time data enables businesses to adapt to market changes quickly, improving their agility and competitiveness. Therefore, developing data analytics capabilities is imperative for businesses to stay ahead and gain a competitive edge. 3. Benefits of Big Data Analytics in Businesses 3.1 Improved Customer Insights Big data has revolutionized how businesses gain a competitive edge through data analytics, offering improved customer insights by analyzing their behavior, preferences, and sentiment toward products. As a result, companies personalize experiences, segment audiences, map customer journeys, and enhance satisfaction. By analyzing data from multiple sources, companies create a 360-degree view of their customers and offer targeted marketing campaigns. 3.2 Enhanced Operational Efficiency Big data improves operational efficiency through predictive maintenance, supply chain optimization, and fraud detection. Predictive maintenance reduces downtime and increases productivity by identifying potential equipment failures. Supply chain optimization streamlines logistics processes, reducing shipping times and costs. Fraud detection identifies and prevents fraudulent activities, protecting businesses from financial losses. 3.3 Better Decision-Making Data-driven decision-making is one of the benefits of using big data, as it provides real-time insights into market trends, customer preferences, and key performance indicators. This helps companies make informed decisions to drive growth and success. Additionally, big data improves decision-making by providing real-time analytics for risk assessment and management, allowing businesses to identify and mitigate potential risks before they become major issues. 3.4 New Product Development Big data uses in businesses enable creation of innovative products and services by analyzing customer feedback and market trends. By gaining insights into customer needs and preferences, businesses identify new opportunities and optimize & innovate their products. 3.5 Competitive Intelligence and Market Research Big data is helpful in providing competitive intelligence and market research. Social listening is a way for businesses to use big data to gain insights into customer sentiment, preferences, and behavior. By analyzing conversations on social media, companies can identify areas for improvement and create effective marketing campaigns. Competitor analysis is another crucial use case for big data in business. By analyzing data on competitors' strategies, businesses can adjust their own strategies and gain a competitive edge. For example, companies can optimize their offerings by tracking competitors' pricing strategies, marketing tactics, and product offerings. 4. The Path Ahead With the continuous evolution of technology, the benefits of big data in business have become increasingly significant in day-to-day operations. The proliferation of digital transformation has provided companies with access to an overwhelming amount of data. In order to maintain a competitive edge, it is imperative for organizations to establish a comprehensive data strategy. However, merely collecting data is insufficient to leverage the potential of big data fully. Companies must possess the necessary tools and expertise to analyze and interpret it. This necessitates investment in advanced analytics tools, as well as the recruitment of data scientists and analysts who can extract valuable insights from the data.

Read More
Business Strategy

Metadata Driven Data Fabric

Article | July 22, 2022

Explore top business intelligence events in 2023 to leverage unparalleled networking opportunities, engaging discussions, and cutting-edge technologies. Stay ahead and unlock the true potential of BI. The ability to harness data and make informed decisions has become paramount for success in the increasingly data-driven world. To stay ahead of the curve and leverage the power of data, professionals in this field must actively engage in continuous learning, networking, and exploring the latest trends and technologies. Fortunately, there are numerous business intelligence conferences and events that cater specifically to the needs of business intelligence professionals. These gatherings provide industry experts, thought leaders and practitioners a platform to share their knowledge, exchange ideas, and showcase cutting-edge solutions. This article will explore a curated list of top BI events to attend for business intelligence and analytics professionals. These events are designed to empower professionals in their journey toward data-driven excellence. Delve into the world of business intelligence and analytics and uncover the key features and benefits of each event. 1.2023 International Conference on Business Analytics for Operations Excellence & Resilience (BAOER 2023) July 15 - 17, 2023 | Singapore BAOER (Business Analytics for Operations Excellence & Resilience) is a highly anticipated annual meeting that serves as a premier platform for industry professionals, researchers, and practitioners to gather and explore the latest advancements in business analytics. The event encompasses various engaging activities, including keynote talks, invited talks, oral presentations, poster presentations, and online sessions. One of the distinguishing features of BAOER is its commitment to quality and academic rigor. The conference invites submissions of papers and abstracts on various topics related to business analytics for Operations Excellence & Resilience, which undergo a meticulous peer-review process by the esteemed Conference Technical Program Committee. Accepted papers are not only presented at the conference but also hold the opportunity to be published in the prestigious International Conference Proceedings. By bringing together a diverse group of authors and speakers from across nations and regions, BAOER fosters a vibrant exchange of ideas and fresh perspectives. Attendees can delve into both theoretical and practical aspects of Operations Excellence & Resilience, gaining valuable insights and building fruitful connections. 2.Melbourne Business Analytics Conference August 2, 2023 | Melbourne (Australia) In today's fast-paced world, where AI and automation play a pivotal role, businesses must adapt and embrace data and digital transformation to remain competitive. With this in mind, Melbourne Business Analytics Conference is, focused on the compelling theme of 'Leading the way: Navigating Data and Digital Transformation in the Age of AI & Automation.' This highly anticipated event will bring together esteemed analytics academics, executives, and practitioners from around the globe. The program will feature a lineup of distinguished speakers who will share their cutting-edge research, real-world experiences, and success stories. Over 600 board members, senior executives, and industry professionals will converge for a power-packed, one-day conference. It will serve as an exceptional platform for knowledge-sharing and networking opportunities. The conference aims to equip Australian businesses with the tools and insights needed to gain a distinctive advantage by harnessing the trilingual insights of business, technology, and mathematics. Participants can expect to immerse themselves in the latest advancements in Machine Learning, AI, and advanced Data Analytics business applications. These valuable insights will help organizations optimize their strategies, drive innovation, and make data-driven decisions. 3.OSU Business Analytics Conference 2023 October 4 - 5, 2023 | Portland (Oregon) Prepare to embark on a unique learning journey at the 4th annual Business Analytics Conference hosted by the Oregon State Center for Business Analytics. This in-person event offers an unparalleled experience, allowing participants to learn from esteemed analytics experts in a dynamic combination of hands-on activities and engaging lectures. This year's conference will strongly emphasize on AI trends, forthcoming technical breakthroughs, innovative applications of AI, and the implications and opportunities it presents for businesses. The panel sessions will feature industry experts alongside faculty members from the College of Business, Engineering, and Liberal Arts. This diverse range of perspectives ensures a comprehensive exploration of the subject matter. Gain invaluable insights into integrating AI programs into your daily operations & long-term planning, along with the growing impact of AI on business strategies, operations, and the workforce. The event will serve as a platform for stimulating discussions around the changes and opportunities that AI can bring and equip organizations with the knowledge and readiness required to navigate the AI landscape effectively. 4.Future Data Driven Summit 2023 September 27, 2023 | Online The Future Data Driven Summit is a prestigious online event that centers around the Microsoft Data Platform, offering attendees an unparalleled opportunity to stay updated on the latest developments in the field. This highly anticipated summit aims to provide valuable insights and knowledge pertaining to Data & AI, DevOps, PowerBI & Visualization, Integration & Automation, and cloud infrastructure. Catering to a diverse audience of IT professionals, data engineers & analysts, data scientists, AI & machine learning engineers, business analysts, and developers, the Future Data Driven Summit will ensure that each participant can derive immense value from the event. With its comprehensive range of topics and sessions, this summit will cater to the needs and interests of professionals across various domains within the data ecosystem. Attendees will be privileged to engage in informative sessions led by subject matter experts, witness hands-on demos of cutting-edge technologies, and gain profound insights from industry leaders' keynote speeches. By participating in these activities, attendees can expand their knowledge base, enhance their skill sets, and stay abreast of the latest trends and advancements in the Microsoft Data Platform. 5.TDWI Executive Summit for Analytics August 7 - 8, 2023 | San Diego (California) The TDWI Executive Summit for Analytics is an interactive and highly curated event specifically designed for business leaders, data science professionals, and IT executives who bear the responsibility of selecting, managing, and extracting value from analytics applications, AI/ML, business intelligence, and the underlying data that powers them. Organizations today constantly rely on analytics to drive innovation, attract and retain customers, improve operational efficiency, and effectively manage risk. However, TDWI has identified a common challenge many organizations face—struggling to progress in their analytics journey. These difficulties often result in user frustration, errors, and increased costs. By attending the TDWI Executive Summit for Analytics, participants can acquire invaluable knowledge on accelerating their analytics journey and achieving optimal business outcomes. The event places a specific focus on deriving the highest value from data assets through analytics and AI/ML into strategies for fostering stakeholder collaboration and effectively scaling analytics and AI/ML initiatives, including the implementation of MLOps—a methodology for managing the machine learning lifecycle. Additionally, the summit will explore emerging trends and technologies, such as generative AI, enabling attendees to stay ahead of the curve. 6.Business Intelligence & Analytics Conference Europe November 7 - 10, 2023 | London (UK) The Business Intelligence & Analytics Conference Europe presents a unique and immersive four-day experience focused on learning and networking. This exceptional business intelligence event offers attendees unparalleled opportunities to connect and collaborate with professionals from Europe and beyond. The conference will encompass five tracks and hosts over 45 sessions, ensuring a comprehensive and diverse range of topics to explore. Through a myriad of fascinating case studies, attendees can learn from various organizations' past successes and challenges. This firsthand knowledge-sharing provides invaluable practical insights that can be applied in real-world scenarios. Broadening knowledge and gaining insights from internationally renowned experts is a key highlight of the event. These experts bring their wealth of experience and expertise to the forefront, sharing innovative approaches and best practices that can drive success in business intelligence and analytics. A notable roster of esteemed organizations participated in the previous year's conference edition. Among notable names were Aizonic, Allianz, AstraZeneca, Bank of England, Dufrain, Volva Penta and many more. The presence of such esteemed organizations further reinforces the conference's credibility and significance within the industry. 7.Data & Analytics Live July 25, 2023 | Online Data & Analytics Live is a highly immersive event that brings a multitude of data and analytics professionals from across North America, offering a full day of learning, networking, and collaboration, catering to newcomers to the field and seasoned industry leaders. Attendees can expect to gain valuable insights and takeaways from renowned speakers sharing their insights into the solutions required to address the most pressing challenges faced by the data and analytics community. These thought leaders will provide invaluable perspectives and expertise, guiding participants toward effective strategies and innovative approaches. One of the key highlights of Data & Analytics Live is the opportunity to discover the latest trends and solutions provided by leading industry providers. Navigating uncharted territory in the data and analytics landscape can be complex, but this event will equip attendees with the knowledge and resources to navigate confidently. Data & Analytics Live will offer a glimpse into how data and analytics are revolutionizing businesses across industries and serves as a unique platform to interact with industry leaders, influential technologists, and pioneering data scientists shaping the future of data and analytics. 8.Customer Analytics Summit September 10 - 12, 2023 | Jersey City (New Jersey) The Customer Analytics Summit is an exciting event designed specifically for professionals in the data and customer insights community. Tailored to address the most pertinent issues in this field, the summit provides a unique opportunity to gain insights from highly successful leaders in data and customer insights. This event will offer an authentic peer-to-peer learning experience, fostering meaningful exchanges among professionals who understand the challenges and opportunities within the data and analytics space. The Customer Analytics Summit showcases renowned industry leaders who will share their expertise and experiences in maximizing the potential of data-driven insights. Attendees will discover how these leaders have harnessed data-driven, actionable insights to unlock exceptional customer value. In addition to insightful presentations, the summit will also provide focused individual discussion groups. These groups offer a platform for in-depth conversations on topics currently shaping the data and analytics landscape. Moreover, the summit will include interactive workshops that provide hands-on training on the latest tools, techniques, and strategies in data and analytics. The Customer Analytics Summit is a must-attend event for professionals seeking to stay at the forefront of the data and customer insights industry. 9.BI Innovation & Tech Fest September 18 - 19, 2023 | Sandton (South Africa) The business intelligence, analytics, and data environment is undergoing an extraordinary transition in today's rapidly evolving world. In this context, the annual BI Innovation & Tech Fest stands out as a premier event that celebrates and empowers individuals passionate about driving innovation in the business intelligence function from multiple perspectives - people, processes, and technology. This extraordinary BI event will provide attendees with a world-class experience, offering an unparalleled agenda that covers a wide range of topics critical to the industry. Whether exploring the latest advancements in AI and machine learning applied to business intelligence, mastering data reporting, visualization, and time analytics or delving into cloud-based BI and self-service BI, the event will present a comprehensive platform to stay ahead of the curve. One of the highlights of BI Innovation & Tech Fest is its emphasis on creating opportunities for networking and collaboration. Attendees will gain access to leading partners and vendors in the business intelligence space, providing valuable insights into cutting-edge technologies, tools, and solutions. The event will foster an environment where professionals can exchange ideas, forge new connections, and engage in meaningful conversations that drive innovation and excellence. 10.Big Data LDN (London) September 20-21, 2023 | Olympia London Big Data LDN (London) is the preeminent free-to-attend conference and exhibition in the UK, dedicated to data, analytics, and AI. With a host of renowned experts in these fields, the event equips attendees with the necessary tools to drive their most effective data-driven strategies. It will bring together over 180 leading technology vendors and consultants, providing a platform for in-depth discussions about business requirements and the latest advancements in the industry. One of the event's key highlights is the opportunity to hear from 300 expert speakers across 15 technical and business-led conference theatres. These speakers will present real-world use cases, share insights, and engage in panel debates, providing attendees with valuable knowledge and practical examples to apply in their organizations. In addition, the event offer exceptional networking opportunities, allowing attendees to connect with their peers, industry experts, and thought leaders. This networking aspect is invaluable for fostering collaborations, exchanging ideas, and building relationships to drive future field success. Big Data LDN goes well beyond the conference sessions and exhibitions by offering free on-site data consultancy services. Conclusion Business intelligence and analytics are evolving unprecedentedly, driven by technological advancements, data availability, and the growing need for data-driven decision-making. Attending industry conferences and events is crucial for professionals in this field to stay abreast of the latest trends, learn from experts, network with peers, and discover innovative solutions. Attending these top business intelligence events allows professionals to gain the knowledge, skills, and connections necessary to excel in their roles. These conferences provide a platform for sharing ideas, learning best practices, and exploring the latest advancements in the field. They serve as catalysts for growth, enabling individuals to unlock the full potential of data and analytics in their organizations. In this era of data-driven decision-making, seize the opportunities, and embark on a journey of continuous learning and professional development through these top business intelligence events in the BI and analytics domain.

Read More
Business Intelligence, Big Data Management, Big Data

Implementing Data Analytics: Emerging Big Data Tools in 2023

Article | July 10, 2023

Discover the prominent big data analytics tools in 2023 and unlock the full potential of big data. Leverage data-driven decision-making to gain insights and implement strategies to accelerate growth. Adopting Big Data Analytics Tools In the current data-driven world, organizations increasingly recognize the value of data analytics in driving businesses’ success. As the volume and complexity of data continue to grow, staying at the forefront of data analytics tools and technologies becomes crucial for businesses to gain actionable insights and make informed decisions. As we delve into 2023, it becomes paramount for businesses to keep pace with emerging cutting-edge big data tools. These tools serve as catalysts for enterprises to harness the power of data analytics effectively. By adopting the right tools and technologies, organizations gain a competitive advantage, foster innovation, and make data-driven decisions that accelerate their growth in an ever-evolving digital landscape. This article delves into the realm of data analytics and explores the emerging big data analytics tools poised to have a significant impact in 2023. From sophisticated machine learning algorithms that push the boundaries of analysis to robust data visualization platforms that bring insights to life, these tools present captivating opportunities for organizations to unlock the full potential of their data and derive actionable intelligence. Exploring Key Trends and Emerging Tools One of the key trends in the data analytics landscape is the rise of cloud-based analytics platforms. These platforms provide scalability, flexibility, and accessibility, allowing businesses to leverage the power of distributed computing and storage for their data analysis needs. With cloud-based tools, organizations can easily process and analyze large volumes of data without significant infrastructure investments. Another emerging trend is integrating artificial intelligence and machine learning into data analytics workflows. AI-powered analytics tools enable businesses to automate data processing, uncover hidden patterns, and generate predictive insights. ML algorithms can learn from vast amounts of data, continuously improving accuracy and enabling organizations to make data-driven decisions with precision. Furthermore, big data visualization tools are becoming increasingly sophisticated, enabling users to transform intricate data into interactive visual representations. These tools facilitate enhanced comprehension and interpretation of data, allowing stakeholders to swiftly extract insights with efficacy. Moreover, the convergence of big data and internet of things (IoT) technologies is creating new opportunities. As IoT devices generate vast amounts of data, organizations can leverage tools for big data analytics to capture, store, and analyze this data, uncovering valuable insights and driving innovation in various industries. Top Big Data Tools to Lookout For: 1. Talend Data Fabric Cloud Integration Software by Talend Talend Data Fabric is an integrated data management and governance platform that enables organizations to access, transform, move and synchronize big data across the enterprise. It provides a comprehensive suite of tools and technologies to address data integration, quality, governance, and stewardship challenges. The platform allows users to access and work with data, regardless of location or format, whether in traditional databases, data lakes, cloud environments, or even in real-time streaming sources. This flexibility empowers organizations to leverage their data assets more effectively and make data-driven decisions. 2. Alteryx Platform Predictive Analytics Software by Alteryx Alteryx is a user-friendly data analytics platform that enables efficient processing and analysis of large datasets. It empowers users to quickly derive valuable insights from data without extensive coding skills. Alteryx facilitates the automation of analytics tasks at scale and enables intelligent decision-making across the organization. The platform provides a comprehensive set of tools, including automated data preparation, analytics, machine learning capabilities, and AI-generated insights. Its intuitive interface enables seamless data access from diverse sources like databases, cloud-based data warehouses, and spreadsheets. Alteryx simplifies data blending and preparation from multiple sources, ensuring high-quality and analysis-ready data for enhanced decision-making. 3. Adverity Data Integration Platform Adverity is a comprehensive data platform that automates data connectivity, transformation, governance, and utilization at scale. It simplifies the arduous task of cleansing and merging data from diverse sources, encompassing sales, finance, and marketing channels, to establish a reliable source of business performance information. The platform seamlessly integrates with multiple databases and cloud-based software, providing access to previously inaccessible data. Adverity empowers users to efficiently analyze incoming data from any source and format, facilitating the discovery of patterns, trends, and correlations. Its robust dashboard enables real-time interaction with data, empowering businesses to make faster, smarter decisions. 4. GoodData Cloud BI and Analytics Platform GoodData is an advanced cloud-based analytics platform that offer intuitive and user-friendly tools for data analysis, embeddable data visualizations, and seamless application integration solutions. Its API-first approach enables users to effortlessly aggregate, analyze, and visualize its data in real time, facilitating swift and effective decision-making. In addition, the platform's microservice-based architecture integrates seamlessly with existing ecosystems, providing a comprehensive end-to-end data analytics solution. With its scalable architecture and straightforward setup, GoodData is an excellent choice for businesses seeking powerful insights without expensive infrastructure investments. 5. Datameer Data Preparation Tool Datameer is an advanced analytics and data science platform designed to help businesses quickly discover insights in their enterprise data. It enables users to connect to multiple data sources effortlessly, employing a user-friendly drag-and-drop interface to transform data and create interactive visualizations and dashboards. The platform also offers access to various analytics tools, including predictive analytics and machine learning algorithms. By simplifying the data exploration process, Datameer provides an intuitive and robust environment for loading, storing, querying, and manipulating data from any source. This streamlined approach aids businesses in reducing time-to-insight by revealing previously concealed relationships and trends. Final Thoughts In the dynamic and data-intensive landscape of 2023, organizations must prioritize the integration of data analytics and adopting emerging big data tools. Adopting emerging tools for big data analytics empowers organizations to seamlessly collect, store, process, and analyze vast volumes of data in real time, providing valuable insights and enabling timely decision-making. However, to fully capitalize on the benefits of these tools, organizations must invest in skilled data professionals who can adeptly leverage these tools to extract meaningful insights. Data literacy and cultivating a data-driven culture within the organization are pivotal components for success in the data-driven landscape of 2023. Organizations can thrive in the ever-evolving realm of data analytics by fostering an environment where data is valued and utilized to drive business outcomes.

Read More
MORE ARTICLES

Spotlight

Datawatch Corporation

Datawatch Corporation (NASDAQ-CM: DWCH) enables ordinary users to achieve extraordinary results with their data. Only Datawatch can unlock data from the widest variety of sources and prepare it for use in visualization and analytics tools, or for other business processes. When real-time visibility into rapidly changing data is critical, Datawatch also enables users to analyze streaming data, even in the most demanding environments, such as capital markets. Organizations of all sizes in more than 100 countries worldwide use Datawatch products, including 93 of the Fortune 100. The company is headquartered in Bedford, Massachusetts, with offices in New York, London, Frankfurt, Stockholm, Singapore and Manila. To learn more about Datawatch or download a free version of its enterprise software, please visit: www.datawatch.com.

Related News

Business Intelligence, Big Data Management, Business Strategy

Privacera Unveils Governed Data Stewardship Solution to Power Data Democratization and Federate Data Governance

Prnewswire | July 19, 2023

Privacera, a leading provider of data security and governance technology, today announced the launch of its Governed Data Stewardship solution and significant ease of use improvements. This innovative offering transforms how IT organizations distribute data ownership and stewardship into lines of business to speed up self-service data sharing and access governance. By eliminating a significant IT bottleneck, Privacera reduces IT complexity and cost, reduces the volume of service desk tickets, increases business agility, and keeps data safe and well-regulated. "We have heard from our customers repeatedly that managing and provisioning secure data access is a major unsolved pain point," said Balaji Ganesan, CEO and Co-Founder. "Analytical and AI initiatives require agile data sharing and fine-grained access provisioning. We are excited to empower organizations with a more democratized experience, one that offers enhanced data governance offerings decreases IT burdens, and accelerated data access while maintaining utmost security and compliance throughout the data estate." Outdated Models Hamper Business Results Historically, business users have created IT service management tickets when they want access to data. A typical approval process might require four to five different levels of approval, and upon final approval, IT administrators are tasked to manually create the required policy controls for each back-end system. This lengthy process takes time and resources and invites complexity and unfortunate opportunity for requests to fall through the cracks. Additionally, with the volume of data request tickets across a diverse multi-cloud data estate, the above approach is costly and the last mile needs to be managed by IT. It is highly inefficient to manage access to data on an account-by-account, workspace-by-workspace, or instance-by-instance basis because it often involves different IT experts. And this problem compounds as data and datasets expand at a geometric rate. "As I look at the modern data environment, a key element is making it all work better together with the goal of accelerating the time to business and data insight," said Stewart Bond, Research Vice President, IDC. "But appropriate and timely data access has been a roadblock between data discovery and consumption; once a data consumer has discovered relevant data in a catalog or marketplace, the acquisition of data is where the process slows down. It is akin to someone shopping online, checking out, and then nothing happens, because there is no automated connection to the delivery mechanism. What Privacera is doing with Governed Data Stewardship is eliminating the complexity and time of running a data access request through a service management system. This empowers businesses' data initiatives to actually get more value from marketplaces and catalog initiatives." A Revolutionary Approach to Data Access Privacera's Governed Data Stewardship solution, built on our industry-leading Unified Data Security Platform, delegates the granting of access function to data custodians and stewards who possess a deep understanding of the data, promoting business ownership and agility while maintaining global and centralized security guardrails. Comprehensive controls can be added to ensure consistent enforcement of corporate-level data security and access integrated with third-party workflows and data catalogs such as Collibra or Alation. As these stewards are much closer to data and data risks, this methodology supports the entire data access process and ensures prompt and secure data provisioning. The solution offers best-in-class ease of use, simplifying the complex tasks of data and privacy management. The user-friendly interface allows for intuitive navigation and seamless interaction reducing the burden on data stewards and enabling them to focus on their core responsibilities. Even users with limited technical expertise can effectively implement and enforce data governance policies, fostering a culture of privacy and compliance within organizations. Companies that work to adopt this new model of Governed Data Stewardship will reap numerous benefits. They gain access to their data more quickly, costs are reduced, data products are industrialized, and faster times to insights is achieved. Data security posture is also improved by ensuring data is being used for the right purpose, eliminating data proliferation, and establishing centralized auditing. Complex Data Workflows Managed Effortlessly Organizations that need more complex data workflows with a Privacera-provided API can utilize the power of a service management ticketing system workflow. Here users discover datasets. When they request access to data, an API is invoked that shares with the service management system, the data being requested, and the relevant data steward for that data. The ticket can be automatically routed initially to the appropriate data steward and any additional predefined approvals. When final approval is given, the ticketing system connects, and data is automatically provisioned. "Governed Data Stewardship, from Privacera, is the ultimate power tool for business data authority," said Bob Seiner. President and Principal, KIK Consulting. "Say goodbye to IT or bureaucratic bottlenecks and hello to data liberation! Privacera's Governed Data Stewardship solution empowers business communities and decision-makers by uncovering insights and conquering data access obstacles with a single click." Additional solution benefits include: IT Data Bottlenecks Eliminated: Businesses receive data faster because data provisioning time is reduced. Reduction of IT Costs: The complexity and cost of managing data access is lessened. Business Agility Empowered: Data stewards who know the data and the context are enabled to manage access at the speed of business. Security Posture Improved: Data is used only for the right purposes. The management of data is transferred to data stewards who understand the data risks for their function and business area. "Governed Data Stewardship empowers data stewards to act as custodians of data access while IT teams focus on value generation. As a result, organizations experience faster data provisioning, better data security, and reduced time to insights. This is another step forward for Privacera as we support the move towards self-service business intelligence, enabling business users to access and analyze data faster," added Ganesan. Privacera Unified Data Security Platform Usability Improvements As part of this most recent update, Privacera's Unified Data Security Platform brings a range of usability and ease-of-use improvements that can be used by data stewards, governance, security, or IT team. Policy creation can be achieved using easy-to-understand English text and grammar and a few clicks of the mouse. Natural language combined with intuitive search, auto-fill recommendations greatly simplifies the creation, administration, and management of policies for both technical and non-technical users. About Privacera Founded in 2016 by the creators of Apache Ranger™–which advanced data access and security for the big data revolution, Privacera's SaaS-based data security and access governance platform enables data and security teams to simplify data access, security, and privacy for data applications and analytical workloads. The Privacera platform supports compliance with regulations such as GDPR, CCPA, LGPD, and HIPAA. Privacera provides a unified view and control for securing sensitive data across multiple cloud services such as AWS, Azure, Databricks, GCP, Snowflake, and Starburst. The Privacera platform is utilized by Fortune 500 customers across finance, insurance, life sciences, retail, media, and consumer industries, as well as government agencies to automate sensitive data discovery, mask sensitive data, and manage high-fidelity policies at petabyte scale on-premises and in the cloud.

Read More

Big Data

Teradata helps customers accelerate AI-led initiatives with new ModelOps capabilities in ClearScape analytics

iTWire | September 27, 2023

Teradata today announced new enhancements to its leading AI/ML (artificial intelligence/machine learning) model management software in ClearScape Analytics (e.g., ModelOps) to meet the growing demand from organisations across the globe for advanced analytics and AI. These new features – including “no code” capabilities, as well as robust new governance and AI “explainability” controls – enable businesses to accelerate, scale, and optimise AI/ML deployments to quickly generate business value from their AI investments. Deploying AI models into production is notoriously challenging. A recent O'Reilly's survey on AI adoption in the enterprise found that only 26% of respondents currently have models deployed in production, with many companies stating they have yet to see a return on their AI investments. This is compounded by the recent excitement around generative AI and the pressure many executives are under to implement it within their organisation, according to a recent survey by IDC, sponsored by Teradata. ModelOps in ClearScape Analytics makes it easier than ever to operationalise AI investments by addressing many of the key challenges that arise when moving from model development to deployment in production: end-to-end model lifecycle management, automated deployment, governance for trusted AI, and model monitoring. The governed ModelOps capability is designed to supply the framework to manage, deploy, monitor, and maintain analytic outcomes. It includes capabilities like auditing datasets, code tracking, model approval workflows, monitoring model performance, and alerting when models are not performing well. We stand on the precipice of a new AI-driven era, which promises to usher in frontiers of creativity, productivity, and innovation. Teradata is uniquely positioned to help businesses take advantage of advanced analytics, AI, and especially generative AI, to solve the most complex challenges and create massive enterprise business value. Teradata chief product officer Hillary Ashton “We offer the most complete cloud analytics and data platform for AI. And with our enhanced ModelOps capabilities, we are enabling organisations to cost effectively operationalise and scale trusted AI through robust governance and automated lifecycle management, while encouraging rapid AI innovation via our open and connected ecosystem. Teradata is also the most cost-effective, with proven performance and flexibility to innovate faster, enrich customer experiences, and deliver value.” New capabilities and enhancements to ModelOps include: - Bring Your Own Model (BYOM), now with no code capabilities, allows users to deploy their own machine learning models without writing any code, simplifying the deployment journey with automated validation, deployment and monitoring - Mitigation of regulatory risks with advanced model governance capabilities and robust explainability controls to ensure trusted AI - Automatic monitoring of model performance and data drift with zero configuration alerts Teradata customers are already using ModelOps to accelerate time-to-value for their AI investments A major US healthcare institution uses ModelOps to speed up the deployment process and scale its AI/ML personalisation journey. The institution accelerated its deployment with a 3x increase in productivity to successfully deploy thirty AI/ML models that predict which of its patients are most likely to need an office visit to implement “Personalisation at Scale.” A major European financial institution leveraged ModelOps to reduce AI model deployment time from five months to one week. The models are deployed at scale and integrated with operational data to deliver business value.

Read More

Big Data

Radiant Logic Announces Expanded Identity Analytics and Data Management Platform Capabilities

Business Wire | September 29, 2023

Radiant Logic, the Identity Data Fabric company, today announces the completed integration of Brainwave GRC following the April 2023 acquisition. These new capabilities solidify Radiant Logic’s entrance in the Identity Analytics market and position our platform in the Identity Governance and Administration market, as seen in the recent Gartner® Market Guide for IGA. With a new website launching today and the release of the full RadiantOne Identity Data Platform, including Identity Analytics, the company celebrates the final integration of Brainwave into Radiant Logic. Radiant Logic, the longtime leader in Identity Data Management, enters the field of Identity Analytics with unprecedented capabilities including Observability, Governance, and Compliance. With 90% of organizations experiencing at least one identity-related breach in the past year, according to the Identity Defined Security Alliance (IDSA), organizations are realizing the essential role of identity data quality and visibility within cybersecurity and overall IT operational maturity best practices. Identity data is the lifeblood for all access decisions, and must be made accessible as the authoritative source for all authentication, authorization, and administration engines. In a recent research note, Gartner recommends that organizations: “Accelerate IAM data improvements for their IAM program by increasing the priority of visibility/observability improvements, including applying the visibility, intelligence, action model to program prioritization decisions." The new release from Radiant Logic represents a major step forward in the ability to use identity data management and identity analytics in cybersecurity and governance practices. Access to the right identity data, at the right time, is critical for any IAM tool, process, or policy. Visibility into all identity data and infrastructure gives clear insight into who has access to what and uncovers outliers and over-privileged access, which helps identify and close security gaps. It’s a powerful combination for any organization. We’re thrilled to announce the full integration of Radiant Logic and Brainwave GRC as one company, one website, and one platform. The new RadiantOne Identity Data Platform will strengthen operational maturity for customers, improve regulatory compliance and audit responses, and enable data-driven security best practices, said John Pritchard, Chief Product Officer, Radiant Logic. We are only seeing the tip of the iceberg regarding the potential for leveraging data science and artificial intelligence in IAM, and we believe that by pairing vast amounts of identity data with analytical inferencing, the possibilities for innovation are endless. With the new capabilities from RadiantOne, identity data can be supplied in a flexible and automated way, allowing organizations to base their security and policy decisions on the most accurate and complete data available. The addition of Identity Analytics brings visibility and intuitive visualization techniques, allowing organizations to use comprehensive identity data to find anomalies, add risk scores, easily respond to audits, and improve their overall security posture. Complete documentation is now available on the Radiant Logic developer portal, the support function is integrated via the customer support portal, and the full platform will be available as an integrated SaaS offering in Q4. The integrated platform combining Identity Data Management and Identity Analytics capabilities will accelerate Zero Trust projects, enable digital transformation, and simplify audit and compliance. Visit our new website at www.radiantlogic.com to learn more. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

Read More

Business Intelligence, Big Data Management, Business Strategy

Privacera Unveils Governed Data Stewardship Solution to Power Data Democratization and Federate Data Governance

Prnewswire | July 19, 2023

Privacera, a leading provider of data security and governance technology, today announced the launch of its Governed Data Stewardship solution and significant ease of use improvements. This innovative offering transforms how IT organizations distribute data ownership and stewardship into lines of business to speed up self-service data sharing and access governance. By eliminating a significant IT bottleneck, Privacera reduces IT complexity and cost, reduces the volume of service desk tickets, increases business agility, and keeps data safe and well-regulated. "We have heard from our customers repeatedly that managing and provisioning secure data access is a major unsolved pain point," said Balaji Ganesan, CEO and Co-Founder. "Analytical and AI initiatives require agile data sharing and fine-grained access provisioning. We are excited to empower organizations with a more democratized experience, one that offers enhanced data governance offerings decreases IT burdens, and accelerated data access while maintaining utmost security and compliance throughout the data estate." Outdated Models Hamper Business Results Historically, business users have created IT service management tickets when they want access to data. A typical approval process might require four to five different levels of approval, and upon final approval, IT administrators are tasked to manually create the required policy controls for each back-end system. This lengthy process takes time and resources and invites complexity and unfortunate opportunity for requests to fall through the cracks. Additionally, with the volume of data request tickets across a diverse multi-cloud data estate, the above approach is costly and the last mile needs to be managed by IT. It is highly inefficient to manage access to data on an account-by-account, workspace-by-workspace, or instance-by-instance basis because it often involves different IT experts. And this problem compounds as data and datasets expand at a geometric rate. "As I look at the modern data environment, a key element is making it all work better together with the goal of accelerating the time to business and data insight," said Stewart Bond, Research Vice President, IDC. "But appropriate and timely data access has been a roadblock between data discovery and consumption; once a data consumer has discovered relevant data in a catalog or marketplace, the acquisition of data is where the process slows down. It is akin to someone shopping online, checking out, and then nothing happens, because there is no automated connection to the delivery mechanism. What Privacera is doing with Governed Data Stewardship is eliminating the complexity and time of running a data access request through a service management system. This empowers businesses' data initiatives to actually get more value from marketplaces and catalog initiatives." A Revolutionary Approach to Data Access Privacera's Governed Data Stewardship solution, built on our industry-leading Unified Data Security Platform, delegates the granting of access function to data custodians and stewards who possess a deep understanding of the data, promoting business ownership and agility while maintaining global and centralized security guardrails. Comprehensive controls can be added to ensure consistent enforcement of corporate-level data security and access integrated with third-party workflows and data catalogs such as Collibra or Alation. As these stewards are much closer to data and data risks, this methodology supports the entire data access process and ensures prompt and secure data provisioning. The solution offers best-in-class ease of use, simplifying the complex tasks of data and privacy management. The user-friendly interface allows for intuitive navigation and seamless interaction reducing the burden on data stewards and enabling them to focus on their core responsibilities. Even users with limited technical expertise can effectively implement and enforce data governance policies, fostering a culture of privacy and compliance within organizations. Companies that work to adopt this new model of Governed Data Stewardship will reap numerous benefits. They gain access to their data more quickly, costs are reduced, data products are industrialized, and faster times to insights is achieved. Data security posture is also improved by ensuring data is being used for the right purpose, eliminating data proliferation, and establishing centralized auditing. Complex Data Workflows Managed Effortlessly Organizations that need more complex data workflows with a Privacera-provided API can utilize the power of a service management ticketing system workflow. Here users discover datasets. When they request access to data, an API is invoked that shares with the service management system, the data being requested, and the relevant data steward for that data. The ticket can be automatically routed initially to the appropriate data steward and any additional predefined approvals. When final approval is given, the ticketing system connects, and data is automatically provisioned. "Governed Data Stewardship, from Privacera, is the ultimate power tool for business data authority," said Bob Seiner. President and Principal, KIK Consulting. "Say goodbye to IT or bureaucratic bottlenecks and hello to data liberation! Privacera's Governed Data Stewardship solution empowers business communities and decision-makers by uncovering insights and conquering data access obstacles with a single click." Additional solution benefits include: IT Data Bottlenecks Eliminated: Businesses receive data faster because data provisioning time is reduced. Reduction of IT Costs: The complexity and cost of managing data access is lessened. Business Agility Empowered: Data stewards who know the data and the context are enabled to manage access at the speed of business. Security Posture Improved: Data is used only for the right purposes. The management of data is transferred to data stewards who understand the data risks for their function and business area. "Governed Data Stewardship empowers data stewards to act as custodians of data access while IT teams focus on value generation. As a result, organizations experience faster data provisioning, better data security, and reduced time to insights. This is another step forward for Privacera as we support the move towards self-service business intelligence, enabling business users to access and analyze data faster," added Ganesan. Privacera Unified Data Security Platform Usability Improvements As part of this most recent update, Privacera's Unified Data Security Platform brings a range of usability and ease-of-use improvements that can be used by data stewards, governance, security, or IT team. Policy creation can be achieved using easy-to-understand English text and grammar and a few clicks of the mouse. Natural language combined with intuitive search, auto-fill recommendations greatly simplifies the creation, administration, and management of policies for both technical and non-technical users. About Privacera Founded in 2016 by the creators of Apache Ranger™–which advanced data access and security for the big data revolution, Privacera's SaaS-based data security and access governance platform enables data and security teams to simplify data access, security, and privacy for data applications and analytical workloads. The Privacera platform supports compliance with regulations such as GDPR, CCPA, LGPD, and HIPAA. Privacera provides a unified view and control for securing sensitive data across multiple cloud services such as AWS, Azure, Databricks, GCP, Snowflake, and Starburst. The Privacera platform is utilized by Fortune 500 customers across finance, insurance, life sciences, retail, media, and consumer industries, as well as government agencies to automate sensitive data discovery, mask sensitive data, and manage high-fidelity policies at petabyte scale on-premises and in the cloud.

Read More

Big Data

Teradata helps customers accelerate AI-led initiatives with new ModelOps capabilities in ClearScape analytics

iTWire | September 27, 2023

Teradata today announced new enhancements to its leading AI/ML (artificial intelligence/machine learning) model management software in ClearScape Analytics (e.g., ModelOps) to meet the growing demand from organisations across the globe for advanced analytics and AI. These new features – including “no code” capabilities, as well as robust new governance and AI “explainability” controls – enable businesses to accelerate, scale, and optimise AI/ML deployments to quickly generate business value from their AI investments. Deploying AI models into production is notoriously challenging. A recent O'Reilly's survey on AI adoption in the enterprise found that only 26% of respondents currently have models deployed in production, with many companies stating they have yet to see a return on their AI investments. This is compounded by the recent excitement around generative AI and the pressure many executives are under to implement it within their organisation, according to a recent survey by IDC, sponsored by Teradata. ModelOps in ClearScape Analytics makes it easier than ever to operationalise AI investments by addressing many of the key challenges that arise when moving from model development to deployment in production: end-to-end model lifecycle management, automated deployment, governance for trusted AI, and model monitoring. The governed ModelOps capability is designed to supply the framework to manage, deploy, monitor, and maintain analytic outcomes. It includes capabilities like auditing datasets, code tracking, model approval workflows, monitoring model performance, and alerting when models are not performing well. We stand on the precipice of a new AI-driven era, which promises to usher in frontiers of creativity, productivity, and innovation. Teradata is uniquely positioned to help businesses take advantage of advanced analytics, AI, and especially generative AI, to solve the most complex challenges and create massive enterprise business value. Teradata chief product officer Hillary Ashton “We offer the most complete cloud analytics and data platform for AI. And with our enhanced ModelOps capabilities, we are enabling organisations to cost effectively operationalise and scale trusted AI through robust governance and automated lifecycle management, while encouraging rapid AI innovation via our open and connected ecosystem. Teradata is also the most cost-effective, with proven performance and flexibility to innovate faster, enrich customer experiences, and deliver value.” New capabilities and enhancements to ModelOps include: - Bring Your Own Model (BYOM), now with no code capabilities, allows users to deploy their own machine learning models without writing any code, simplifying the deployment journey with automated validation, deployment and monitoring - Mitigation of regulatory risks with advanced model governance capabilities and robust explainability controls to ensure trusted AI - Automatic monitoring of model performance and data drift with zero configuration alerts Teradata customers are already using ModelOps to accelerate time-to-value for their AI investments A major US healthcare institution uses ModelOps to speed up the deployment process and scale its AI/ML personalisation journey. The institution accelerated its deployment with a 3x increase in productivity to successfully deploy thirty AI/ML models that predict which of its patients are most likely to need an office visit to implement “Personalisation at Scale.” A major European financial institution leveraged ModelOps to reduce AI model deployment time from five months to one week. The models are deployed at scale and integrated with operational data to deliver business value.

Read More

Big Data

Radiant Logic Announces Expanded Identity Analytics and Data Management Platform Capabilities

Business Wire | September 29, 2023

Radiant Logic, the Identity Data Fabric company, today announces the completed integration of Brainwave GRC following the April 2023 acquisition. These new capabilities solidify Radiant Logic’s entrance in the Identity Analytics market and position our platform in the Identity Governance and Administration market, as seen in the recent Gartner® Market Guide for IGA. With a new website launching today and the release of the full RadiantOne Identity Data Platform, including Identity Analytics, the company celebrates the final integration of Brainwave into Radiant Logic. Radiant Logic, the longtime leader in Identity Data Management, enters the field of Identity Analytics with unprecedented capabilities including Observability, Governance, and Compliance. With 90% of organizations experiencing at least one identity-related breach in the past year, according to the Identity Defined Security Alliance (IDSA), organizations are realizing the essential role of identity data quality and visibility within cybersecurity and overall IT operational maturity best practices. Identity data is the lifeblood for all access decisions, and must be made accessible as the authoritative source for all authentication, authorization, and administration engines. In a recent research note, Gartner recommends that organizations: “Accelerate IAM data improvements for their IAM program by increasing the priority of visibility/observability improvements, including applying the visibility, intelligence, action model to program prioritization decisions." The new release from Radiant Logic represents a major step forward in the ability to use identity data management and identity analytics in cybersecurity and governance practices. Access to the right identity data, at the right time, is critical for any IAM tool, process, or policy. Visibility into all identity data and infrastructure gives clear insight into who has access to what and uncovers outliers and over-privileged access, which helps identify and close security gaps. It’s a powerful combination for any organization. We’re thrilled to announce the full integration of Radiant Logic and Brainwave GRC as one company, one website, and one platform. The new RadiantOne Identity Data Platform will strengthen operational maturity for customers, improve regulatory compliance and audit responses, and enable data-driven security best practices, said John Pritchard, Chief Product Officer, Radiant Logic. We are only seeing the tip of the iceberg regarding the potential for leveraging data science and artificial intelligence in IAM, and we believe that by pairing vast amounts of identity data with analytical inferencing, the possibilities for innovation are endless. With the new capabilities from RadiantOne, identity data can be supplied in a flexible and automated way, allowing organizations to base their security and policy decisions on the most accurate and complete data available. The addition of Identity Analytics brings visibility and intuitive visualization techniques, allowing organizations to use comprehensive identity data to find anomalies, add risk scores, easily respond to audits, and improve their overall security posture. Complete documentation is now available on the Radiant Logic developer portal, the support function is integrated via the customer support portal, and the full platform will be available as an integrated SaaS offering in Q4. The integrated platform combining Identity Data Management and Identity Analytics capabilities will accelerate Zero Trust projects, enable digital transformation, and simplify audit and compliance. Visit our new website at www.radiantlogic.com to learn more. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

Read More

Events

DataDriven23

Conference

DataDriven23

Conference