Maximize ROI with Marketing Analytics Technology

Aashish Yadav | May 31, 2022 | 349 views

Maximize ROI with Marketing Analytics Technology
Every business tries to improve their return on investment (ROI) every year by deploying different marketing strategies and technologies. Businesses are constantly adding new technologies to their content stack in order to enhance their efficiency and boost their revenue and growth. Data is inevitable in today's digital era, and Dan Zarrella correctly describes its role in marketing. He stated, "Marketing without data is like driving with your eyes closed."

Indeed, the development of better marketing analytics tools and methodologies in recent years has provided business leaders with tremendous added decision-making power. Marketing analytics enables businesses to harness data points about their prospects and their journey through the selling process to enhance the effectiveness of their go-to-market efforts while optimizing ROI. The benefits can be experienced across teams and business segments. According to Hubspot, over 75% of marketers are reporting on how their campaigns are directly influencing revenue because of marketing analytics tools. So, let’s dive deeper and understand why marketing analytics matters.

Why Does Marketing Analytics Matter?

Marketing campaigns are just tossed into the world with little or no information about how your target audience responds to your marketing strategies. This happens in cases where business analytics tools are not used. Without employing marketing analytics, it can be said that a business is operating in the dark. Here are the reasons why marketing analytics matters.

Quantifiable Actions

Marketing analytics tools provide you with reliable matrices and insights into the varied marketing strategies that are implemented. Whenever numbers are presented, concrete data for the marketing effort is provided. For example, if you launched a content marketing campaign and have reliable data, it's easy to see that overall sales improved as a result of that marketing push.

Campaign Analyses

Only marketing analytics can provide a complete overview of how a marketing campaign or strategy actually performed. The data can be dug deeper to track individual messaging across a broad spectrum of outlets, making sure no approach is wasted.

Plan for the Future

Once you have an understanding of which marketing strategies are meeting expectations, you will be able to plan strategically for future marketing initiatives. Not only is this helpful for organizing marketing efforts, but it also makes it easier to allocate funds across boards.


Maximize ROI with Marketing Analytics

When marketers use marketing analytics tools, they can find patterns and signs that can be used to improve the performance of their company.

This data can assist account managers to acquire new prospects, reallocate marketing expenditures to the most effective channels, and forecast future possibilities. Integration of marketing analytics software into the sales process can save time, boost revenue, and maximize ROI.

Lead Prospecting

Marketing analytics can enhance customer acquisition in multiple ways.

Many marketers merely acquire data about website visitors and ad viewers via ad networks. They just receive basic demographic data, not tips about how to convert leads to sales.

Marketing analytics tracks every prospect in your sales funnel or website in real-time. With a detailed picture of your potential customers, you can recognize qualified leads and target them with marketing. Using data insights, you can boost sales, get rid of bottlenecks, increase conversions, and find opportunities that were hidden in plain sight.

Campaign Performance Monitoring

Online advertising and marketing have the distinct advantage of allowing campaign managers to keep checks on ad performance in real-time. Businesses can use marketing ROI metrics like clicks, impressions, and conversions to figure out which ads work best.

Real-time campaign monitoring is a valuable tool for today's marketers. Placements that are underperforming are paused or modified, while those with a great ROI could get extra ad revenue. These insights usually result in more efficient ad spending. Information from different media channels and data from online applications can be put together to learn about the prospect-to-customer journey.

Demand Forecasting

With suitable data at the right time, marketers gain more power. Tracking historical data is essential to identifying patterns and predicting demand. Seasonal patterns, for example, can have a significant impact on how well a campaign performs.

Detailed research can indicate these factors and assist you in re-allocate or altering your marketing investment. Understanding the product or campaign performance helps to identify which items will be in high demand in the future quarter through the use of marketing analytics.

Boost Sales

Consumers are more knowledgeable than ever before. Reviews, social networks, blogs, etc., now influence most purchasing decisions. Marketing analytics provides valuable information.

Focus on how marketing impacts sales to evaluate ROI. When to contact a potential customer, which product would have the most impact, and who is best suited to close the deal. Find sales-boosting marketing strategies. Marketing analytics can enhance revenue by:

  • Understanding the decision-making process of a consumer.
  • Tracking website user behavior and sales trends.
  • Discussing your ROI strategy with the entire company, rather than just the sales or marketing teams.

Summing Up

For marketers, the use of marketing analytics technology is undoubtedly going to grow over time. You can boost your marketing ROI by using the best marketing analytics tools. Marketing ROI is mostly determined by how successful you are at developing and executing your company's marketing strategy.

If you use the right marketing analytics, you can cut your marketing costs, make more people want your brand, and increase sales.

FAQ


What are the main components of marketing analytics?

An effective marketing analytics strategy must have the following three capabilities:
  • Scalability: Your approach must be able to grow and adapt to the changing requirements of the future.
  • Sustainability: Having the appropriate team is essential to long-term sustainability.
  • Affordability: Analytical is a sound investment, but the budget must be in sync with projected growth.


What technology do most marketing analysts use?

Marketing analysts can require various technologies related to:
  • Statistical analysis software (e.g., R, SAS, SPSS, or STATA)
  • SQL databases and database querying languages.


What is digital marketing analytics?

Customer behavior is translated into actionable company data through digital marketing analytics. Businesses can use digital analytics tools to learn more about what customers are doing online, why they're doing it, and how this behavior can be used in digital marketing campaigns.

Spotlight

Orion Business Innovation

We are a global technology services provider enabling customers to capitalize on technology in their business for over 25 years. We have successfully delivered solutions across data, analytics, enterprise collaboration, risk & compliance, knowledge management and cloud enabling customers’ journey from “data to decision making“.

OTHER ARTICLES
Business Strategy

Leveraging Big Data for Competitive Advantage: Benefits

Article | July 22, 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 | May 13, 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 Strategy

Implementing Data Analytics: Emerging Big Data Tools in 2023

Article | April 4, 2022

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 Intelligence, Big Data Management, Big Data

Business Intelligence for Actionable Insights: Top BI books to Explore

Article | July 4, 2023

In the fast-paced world of data-driven decision-making, having a solid understanding of BI is essential. Explore a handpicked selection of top books that cover everything a data professional needs. In today's data-driven landscape, businesses face the ongoing challenge of deriving meaningful insights from vast amounts of data to facilitate informed decision-making. This is where the field of business intelligence (BI) becomes crucial. Business intelligence encompasses a range of processes, technologies, and strategies that empower organizations to transform raw data into valuable insights, thereby driving business success. Access to comprehensive and insightful information is critical whether you're new to the field and seeking foundational knowledge or an experienced professional aiming to enhance your skills. This article will explore a curated selection of the best business intelligence books that offer valuable knowledge, practical guidance, and strategic insights. These books cover various facets of BI, including fundamental concepts, methodologies, agile approaches, data mining techniques, and cultural considerations. By delving into these essential resources, you will learn the tools and understanding necessary to navigate the complex realm of business intelligence, harness the full potential of your organization's data assets, and propel your business forward. 1. Business Intelligence Elizabeth Vitt, Michael Luckevich, Stacia Misner ‘Business Intelligence, 1st Edition’ presents a comprehensive approach to empower readers with the vital knowledge and expertise needed to thrive in the dynamic field of business intelligence (BI). Co-authored by Elizabeth Vitt, Michael Luckevich, and Stacia Misner, this BI book is an invaluable resource catering to both beginners and seasoned professionals within the realm of business intelligence. Setting the stage, the book lays a solid foundation by illuminating fundamental concepts in business intelligence. It adeptly demonstrates how organizations can harness the power of massive data repositories to glean invaluable business insights, enabling them to make informed decisions swiftly and effectively regarding customers, partners, and operational aspects. 'Business Intelligence' guides readers through the intricacies of leveraging business intelligence insights to seamlessly amalgamate information, individuals, and cutting-edge technologies. Armed with this knowledge, readers gain the confidence to devise and execute successful business strategies with precision. 2. Business Intelligence: Data Mining and Optimization for Decision Making Carlo Vercellis In the book 'Business Intelligence: Data Mining and Optimization for Decision Making,' Carlo Vercellis explores the crucial intersection between data mining, optimization techniques, and decision-making processes within the field of business intelligence. The author starts by laying the groundwork for business intelligence and introduces key concepts such as data warehousing, data mining and its applications, machine learning, supply optimization models, decision support systems, and analytical methods for performance evaluation, setting the stage for a holistic approach to business intelligence. The book emphasizes the practical application of data mining and optimization techniques through real-world examples and case studies. 'Business Intelligence: Data Mining and Optimization for Decision Making' though aimed at postgraduate students, is an essential resource for professionals and researchers interested in harnessing the power of data mining, optimization, and decision support systems. 3. Business Intelligence: An Essential Beginner’s Guide to BI Richard Hurley 'Business Intelligence: An Essential Beginner's Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media, and Internet Marketing,' provides a comprehensive introduction to the diverse and interconnected world of modern business intelligence. As the title suggests, this business intelligence book goes beyond traditional BI and explores emerging technologies shaping the business landscape. It delves into big data, providing insights into the challenges and opportunities associated with processing and analyzing massive datasets. Hurley introduces artificial intelligence (AI), machine learning (ML), and pattern recognition to explain their potential applications in driving business intelligence and decision-making. The book also addresses the critical roles that social media and internet marketing play in the growth of BI and how these platforms can be leveraged to gather valuable business intelligence insights and engage with customers effectively. 4. Business Intelligence: And How It Can Help You Grow Your Business Johan Faerch This book offers a practical and insightful guide to leveraging business intelligence strategies and techniques to drive business growth. This BI book is designed to empower entrepreneurs, business owners, and managers with the knowledge and tools necessary to make informed decisions and unlock the full potential of their organizations. It begins by introducing the concept of business intelligence and its significance in today's competitive marketplace and explains how BI goes beyond mere data analysis and reporting, acting as a catalyst for growth and innovation. The author highlights the transformative power of BI, demonstrating how it can provide a deep understanding of market trends, customer preferences, and internal operations. 'Business Intelligence: And How It Can Help You Grow Your Business' is a highly accessible and practical resource that bridges the gap between theory and real-world application. Johan Faerch's expertise and experience in the field, shines through as he provides valuable business intelligence insights and actionable strategies for harnessing the power of BI to achieve business growth. 5. Growing Business Intelligence Larry Burns 'Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value' offers a comprehensive guide to unlocking the full potential of business intelligence (BI) through an agile and adaptable framework. This BI book provides practical insights and strategies for effectively utilizing data and analytics to drive continuous growth and optimize business value. With a keen focus on core principles, the book highlights the importance of navigating the complexities of BI architecture to find the most suitable path for each unique organization. The book serves as a trusted resource, guiding readers on effectively managing the risks associated with disruptive technologies and adopting agile methodologies to deliver on the promises of BI and analytics in a rapid, concise, and iterative manner. 'Growing Business Intelligence' is an invaluable asset for business leaders, managers, and data professionals involved in BI, analytics, or Big Data projects. It also caters to organizations aiming to maximize the value derived from their data and investments in BI technology. 6 Business Intelligence: A Comprehensive Approach to Information Needs, Technologies, and Culture Rimvydas Skyrius 'Business Intelligence: A Comprehensive Approach to Information Needs, Technologies, and Culture' by Rimvydas Skyrius delves deep into the multifaceted realm of business intelligence from various perspectives. This book looks at BI as a process driven by the synergistic blend of human capabilities and technological advancements and emphasizes the complex nature of information needs and decision-making support within organizations. It begins with a comprehensive introduction to the fundamental concepts of BI and related areas of information processing, navigating through the intricacies of BI, addressing data integration, information integration, and the processes & technologies involved. It further explores the maturity and agility of BI, delving into the components, drivers, and inhibitors of BI culture, as well as the soft factors like attention, sense, and trust that shape the BI landscape. Rimvydas, in this book, presents a holistic perspective view on business intelligence, possible structures and tradeoffs within the field of BI, providing readers with valuable insights. 7. Business Intelligence Strategy: A Practical Guide for Achieving BI Excellence John Boyer, Bill Frank, Brian Green, Tracy Harris, Kay Van De Vanter 'Business Intelligence Strategy: A Practical Guide for Achieving BI Excellence' serves as a comprehensive and practical guide for organizations aiming to develop and implement a successful business intelligence strategy that drives excellence and delivers tangible results. The book begins by emphasizing the strategic importance of BI in modern organizations, highlighting its role in enabling informed decision-making, improving operational efficiency, and fostering a data-driven culture. It guides readers through the process of creating business alignment strategies that help prioritize business requirements, build organizational & cultural strategies, increase IT efficiency, and promote user adoption. The authors emphasize the importance of engaging stakeholders and fostering collaboration between business and IT teams to ensure the strategy's effectiveness and long-term success. 'Business Intelligence Strategy' equip readers with the right tools and strategies to develop and implement a robust BI strategy that drives excellence and delivers measurable value to their organization. 8. Fundamentals of Business Intelligence (Data-Centric Systems and Applications) Wilfried Grossmann, Stefanie Rinderle-Ma 'Fundamentals of Business Intelligence' serves as a comprehensive and systematic introduction to the dynamic field of business intelligence , providing readers with strong foundational knowledge. This business intelligence book focuses on the transformation of process-oriented data into valuable information crucial for decision-making across diverse domains. The authors, Grossmann and Rinderle-Ma, follow a step-by-step approach to develop models and analytical tools that enable the acquisition of high-quality data structured in a manner conducive to applying complex analytical techniques. Covering a wide range of essential topics, the book delves into the fundamental concepts of business intelligence, the data-centric nature of BI, exploring various approaches to modeling in BI applications, data provisioning, data description, visualization, reporting, and more. The book seamlessly blends theoretical explanations with practical examples and compelling case studies to further enhance comprehension. 9. Business Intelligence: The Savvy Manager's Guide 1st Edition David Loshin 'Business Intelligence: The Savvy Manager's Guide' is an insightful resource offering, practical guidance and strategic insight to assist managers in comprehending, implementing, and maximizing the benefits of BI. Loshin initiates the journey by clearly describing the fundamental architectural components of a business intelligence environment. Topics covered range from traditional subjects such as business process modeling and data modeling to more contemporary areas like business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. The book follows a logical progression, starting with the establishment of a robust data model infrastructure, followed by data preparation, analysis, integration, knowledge discovery, and ultimately the practical utilization of the acquired knowledge. Loshin adeptly provides clear explanations devoid of technical jargon, coupled with in-depth descriptions that articulate the business value of emerging technologies while offering the necessary introductory technical background. The true strength of this book lies in its ability to bridge the gap between technical and managerial perspectives. 10. Business Intelligence: The Savvy Manager's Guide 2nd Edition David Loshin 'Business Intelligence: The Savvy Manager's Guide' by David Loshin is a comprehensive resource that equips managers with the knowledge and insights necessary to effectively navigate the field of business intelligence.The book covers the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. The author also explores key factors to be taken into account in the planning and execution of a successful BI program, considerations for developing a BI roadmap, the platforms for analysis, such as data warehouses, and the concepts of business metadata. 'Business Intelligence: The Savvy Manager's Guide' serves as an accessible resource for BI professionals, including senior and middle-level managers, Chief Information Officers, Chief Data Officers, senior business executives, business staff members, database or software engineers, and business analysts seeking to harness the power of BI in their organizations. Conclusion The field of business intelligence is ever-evolving and plays a vital role in the current data-driven business landscape. The books highlighted in this article provide a wealth of knowledge and insights for individuals at various stages of their BI journey. These business intelligence books collectively offer a comprehensive and diverse range of perspectives on business intelligence to promote growth and expertise. Whether you are a beginner seeking fundamental knowledge or a seasoned professional aiming to enhance your skills, these resources provide valuable insights and guidance for harnessing the power of BI to drive success in the modern business landscape.

Read More

Spotlight

Orion Business Innovation

We are a global technology services provider enabling customers to capitalize on technology in their business for over 25 years. We have successfully delivered solutions across data, analytics, enterprise collaboration, risk & compliance, knowledge management and cloud enabling customers’ journey from “data to decision making“.

Related News

Business Strategy, Machine Learning

UST Announces Strategic Partnership with Xiatech

PR Newswire | July 14, 2023

UST, a leading digital transformation solutions company, has announced a strategic partnership with Xiatech, the pioneer of the world's first ML-powered composable Hyper-Integration Platform, Xfuze. UST and Xiatech will combine forces to accelerate the business transformation and success of organisations worldwide. Together, the companies will jointly leverage their AI and ML-powered platforms and expertise to solve business and technology data challenges facing companies. In addition, UST and Xiatech will co-innovate by bringing to market a series of joint Environmental, Social, and Governance (ESG) solutions, including new innovative data and carbon ecosystems for business management and reporting. UST will leverage Xfuze, Xiatech's ML-powered composable Hyper-Integration Platform, to rapidly connect business applications, unify data into a single view as well as deliver advanced insights and analytics across UST's global business and customer base. Xiatech will tap into UST's native Data and AI platforms and capabilities to deliver greater levels of actionable insight and business value to customers. Hyper-Integration for UST's customers The rapid evolution of AI and technological innovation has led to increasing demand for efficient and seamless composable Hyper-Integration Platforms. Xiatech's Xfuze Platform will play a crucial role in empowering large-scale technology innovation with UST. By unifying and automating the process of data integration and management, Xfuze enables organisations to harness the full potential of their data, drive innovation and enhance their competitive edge. The MACH-certified Xfuze platform empowers customers to adapt quickly to the ever-changing technological landscape as well as to leverage new and disruptive technology from integrated partners such as UST, ensuring that they remain at the forefront of their industries. New joint ESG solution for retailers The retail industry faces increasing demand for seamless data integration to meet emerging ESG regulatory requirements. The UST ESG-Ecosystem offers a comprehensive solution that combines Xiatech's expertise in system and data integration with UST's advanced AI capabilities, enabling retailers to swiftly meet regulatory requirements and effectively manage their ESG initiatives while driving informed and specific business decision-making via a powerful end-to-end ESG management, and reporting solution. This strategic partnership underscores UST and Xiatech's commitment to providing innovative solutions that empower businesses to thrive in a rapidly evolving and competitive landscape. Andy Knowles, Head of Retail at UST, said, "UST is excited to partner with Xiatech and take our combined expertise in disruptive technology innovation to the next level. By leveraging the power of Xiatech's Xfuze Hyper-Integration Platform and integrating UST's AI capabilities, we will be able to radically shorten the time for organisations struggling to integrate systems and unify data sources into a single view required to support a wide range of use cases, such as meeting complex ESG regulations." Jonathan Summerfield, Founder and CEO of Xiatech, said, "Our global partnership with UST is an important milestone for Xiatech as we continue to see huge demand for the value our Hyper-Integration Platform, Xfuze, delivers to customers now that they have connected businesses, so data and actionable insights intelligently flows across their organisations in real-time. By combining the strengths of our Xfuze Platform with UST, our new joint go-to-market proposition will also provide retailers with an exceptional solution to manage their ESG responsibilities and embed ESG considerations into their core business processes." About Xiatech Xiatech shortens time-to-insights, accelerates digital transformation, and extends the value of legacy technology investments by providing organisations with Xfuze, the world's first ML-powered composable Hyper-Integration Platform that innovatively connects systems, creates a single view of data and delivers actionable insights in one solution. Developed for the Hyper-Connected economy, Xiatech powers Hyper-Integrated organisations by unifying system integration, process automation, data management, continuous insights, and advanced analytics so business and technology professionals have the tools and data to make real-time decisions.

Read More

Big Data Management

Congruity360 Delivers Intelligent Data Migrations and Storage Tiering

PR Newswire | September 27, 2023

Congruity360, a leading unstructured data management and risk mitigation provider, announces the addition of data mobility in Enterprise Insights. As unstructured data grows at the annual rate of 55% to 65% and accounts for more than 80% of all enterprise data, businesses must find a way to identify, classify and move data intelligently and automatically during its lifecycle. As enterprises grow, their valuable data must mature with their business. This may require a journey to the cloud, SLA changes which optimize storage costs, classification to mitigate risk, and moving the right data to additional key AI platform initiatives. A simple, scalable, high-performance data classification engine, Enterprise Insights delivers next-generation data lifecycle management for storage optimization, security and risk optimization, and IT business optimization. Enterprise Insights Approach to Successful Data Optimization: Identify – Securely analyze PBs of unstructured data across on premises (NAS & object) and cloud (files/objects & SaaS) sources by harnessing the power of the platform's rapid insights and auto-discover technologies, which can reduce data identification times by 1,000%. Classify – Quickly identify key client data attributes for cost savings, risk mitigation, and business impact with simple to consume dashboards and drill down capabilities. Review – Confidently create and take actions by leveraging the comprehensive search engine to quickly find and preview data for movement without ever leaving the platform. Remediate – Seamlessly take action (migrate and tier) on classified data to ensure it's properly protected, optimally stored, and most effectively serving the business. Enterprise Insights offers three use case-driven insight analysis modules: Storage and Migration Optimization – Insights into over 35 file data attributes including systems' aged, stale, obsolete, redundant, trivial, and types of systems files. Business Optimization – Insight into and classification by business units' or cost centers' aged, stale, obsolete, redundant, trivial, and types of files. Data Security and Risk Optimization – Insights into files containing PII and SPII, financial, legal, security, and risk data, as well as open shares and other network & storage security vulnerabilities. By leveraging Enterprise Insights, clients can classify data for simple and secure migration both on premise and in the cloud. Equally important is Insights data tiering capabilities, enabling users to match data storage costs to data usage. Powered by the Classify360 Platform, Enterprise Insights' secure hybrid approach to data analysis scales capabilities to exabyte levels at unmatched speed. Enterprise Insights is the industry's most powerful weapon to tackle the costs, time, and complexity of cloud migration projects, backup modernization, storage tiering, hardware refresh, and security posture management. By providing users with dashboards highlighting their existing storage costs and risks, Enterprise Insights frees clients from hidden, legacy, CapEx and OpEx expenditures, performance, and scalability bottlenecks while discovering and acting on sensitive and risk data. Unstructured data insanity is treating all data equally with zero insights into its business impact, said Brian Davidson, Chief Executive Officer and Managing Partner of Congruity360. Enterprise Insights is the first step in implementing optimized data lifecycle management. With historically high data growth and new business uses for unstructured data, it is essential to attack the costs and risks inherent in unmanaged data. Our customers have realized 7-10x returns on their data lifecycle management implementations while reducing risk in an auditable compliance framework. As AI continues to gain steam, don't overpay by moving useless data to your expensive AI platforms. The Classify360 Platform is comprehensive, simple to implement, scale, and operate. Businesses leverage the Classify360 Platform for unstructured data discovery, classification, business workflows, remediation actions, and insightful reporting. Congruity360 continues to tackle additional data governance challenges through innovations to the Classify360 Platform to continue delivering revolutionary data governance and classification, at scale, to the enterprise world. ABOUT CONGRUITY360 Congruity360 delivers the only data life cycle management solution built on a foundation of classification, by expert data storage engineers alongside expert data privacy consultants. The Classify360 Platform is easy to implement, requires no outside consultants, and quickly analyzes your data at the petabyte scale in days, not weeks or months.

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

Business Strategy, Machine Learning

UST Announces Strategic Partnership with Xiatech

PR Newswire | July 14, 2023

UST, a leading digital transformation solutions company, has announced a strategic partnership with Xiatech, the pioneer of the world's first ML-powered composable Hyper-Integration Platform, Xfuze. UST and Xiatech will combine forces to accelerate the business transformation and success of organisations worldwide. Together, the companies will jointly leverage their AI and ML-powered platforms and expertise to solve business and technology data challenges facing companies. In addition, UST and Xiatech will co-innovate by bringing to market a series of joint Environmental, Social, and Governance (ESG) solutions, including new innovative data and carbon ecosystems for business management and reporting. UST will leverage Xfuze, Xiatech's ML-powered composable Hyper-Integration Platform, to rapidly connect business applications, unify data into a single view as well as deliver advanced insights and analytics across UST's global business and customer base. Xiatech will tap into UST's native Data and AI platforms and capabilities to deliver greater levels of actionable insight and business value to customers. Hyper-Integration for UST's customers The rapid evolution of AI and technological innovation has led to increasing demand for efficient and seamless composable Hyper-Integration Platforms. Xiatech's Xfuze Platform will play a crucial role in empowering large-scale technology innovation with UST. By unifying and automating the process of data integration and management, Xfuze enables organisations to harness the full potential of their data, drive innovation and enhance their competitive edge. The MACH-certified Xfuze platform empowers customers to adapt quickly to the ever-changing technological landscape as well as to leverage new and disruptive technology from integrated partners such as UST, ensuring that they remain at the forefront of their industries. New joint ESG solution for retailers The retail industry faces increasing demand for seamless data integration to meet emerging ESG regulatory requirements. The UST ESG-Ecosystem offers a comprehensive solution that combines Xiatech's expertise in system and data integration with UST's advanced AI capabilities, enabling retailers to swiftly meet regulatory requirements and effectively manage their ESG initiatives while driving informed and specific business decision-making via a powerful end-to-end ESG management, and reporting solution. This strategic partnership underscores UST and Xiatech's commitment to providing innovative solutions that empower businesses to thrive in a rapidly evolving and competitive landscape. Andy Knowles, Head of Retail at UST, said, "UST is excited to partner with Xiatech and take our combined expertise in disruptive technology innovation to the next level. By leveraging the power of Xiatech's Xfuze Hyper-Integration Platform and integrating UST's AI capabilities, we will be able to radically shorten the time for organisations struggling to integrate systems and unify data sources into a single view required to support a wide range of use cases, such as meeting complex ESG regulations." Jonathan Summerfield, Founder and CEO of Xiatech, said, "Our global partnership with UST is an important milestone for Xiatech as we continue to see huge demand for the value our Hyper-Integration Platform, Xfuze, delivers to customers now that they have connected businesses, so data and actionable insights intelligently flows across their organisations in real-time. By combining the strengths of our Xfuze Platform with UST, our new joint go-to-market proposition will also provide retailers with an exceptional solution to manage their ESG responsibilities and embed ESG considerations into their core business processes." About Xiatech Xiatech shortens time-to-insights, accelerates digital transformation, and extends the value of legacy technology investments by providing organisations with Xfuze, the world's first ML-powered composable Hyper-Integration Platform that innovatively connects systems, creates a single view of data and delivers actionable insights in one solution. Developed for the Hyper-Connected economy, Xiatech powers Hyper-Integrated organisations by unifying system integration, process automation, data management, continuous insights, and advanced analytics so business and technology professionals have the tools and data to make real-time decisions.

Read More

Big Data Management

Congruity360 Delivers Intelligent Data Migrations and Storage Tiering

PR Newswire | September 27, 2023

Congruity360, a leading unstructured data management and risk mitigation provider, announces the addition of data mobility in Enterprise Insights. As unstructured data grows at the annual rate of 55% to 65% and accounts for more than 80% of all enterprise data, businesses must find a way to identify, classify and move data intelligently and automatically during its lifecycle. As enterprises grow, their valuable data must mature with their business. This may require a journey to the cloud, SLA changes which optimize storage costs, classification to mitigate risk, and moving the right data to additional key AI platform initiatives. A simple, scalable, high-performance data classification engine, Enterprise Insights delivers next-generation data lifecycle management for storage optimization, security and risk optimization, and IT business optimization. Enterprise Insights Approach to Successful Data Optimization: Identify – Securely analyze PBs of unstructured data across on premises (NAS & object) and cloud (files/objects & SaaS) sources by harnessing the power of the platform's rapid insights and auto-discover technologies, which can reduce data identification times by 1,000%. Classify – Quickly identify key client data attributes for cost savings, risk mitigation, and business impact with simple to consume dashboards and drill down capabilities. Review – Confidently create and take actions by leveraging the comprehensive search engine to quickly find and preview data for movement without ever leaving the platform. Remediate – Seamlessly take action (migrate and tier) on classified data to ensure it's properly protected, optimally stored, and most effectively serving the business. Enterprise Insights offers three use case-driven insight analysis modules: Storage and Migration Optimization – Insights into over 35 file data attributes including systems' aged, stale, obsolete, redundant, trivial, and types of systems files. Business Optimization – Insight into and classification by business units' or cost centers' aged, stale, obsolete, redundant, trivial, and types of files. Data Security and Risk Optimization – Insights into files containing PII and SPII, financial, legal, security, and risk data, as well as open shares and other network & storage security vulnerabilities. By leveraging Enterprise Insights, clients can classify data for simple and secure migration both on premise and in the cloud. Equally important is Insights data tiering capabilities, enabling users to match data storage costs to data usage. Powered by the Classify360 Platform, Enterprise Insights' secure hybrid approach to data analysis scales capabilities to exabyte levels at unmatched speed. Enterprise Insights is the industry's most powerful weapon to tackle the costs, time, and complexity of cloud migration projects, backup modernization, storage tiering, hardware refresh, and security posture management. By providing users with dashboards highlighting their existing storage costs and risks, Enterprise Insights frees clients from hidden, legacy, CapEx and OpEx expenditures, performance, and scalability bottlenecks while discovering and acting on sensitive and risk data. Unstructured data insanity is treating all data equally with zero insights into its business impact, said Brian Davidson, Chief Executive Officer and Managing Partner of Congruity360. Enterprise Insights is the first step in implementing optimized data lifecycle management. With historically high data growth and new business uses for unstructured data, it is essential to attack the costs and risks inherent in unmanaged data. Our customers have realized 7-10x returns on their data lifecycle management implementations while reducing risk in an auditable compliance framework. As AI continues to gain steam, don't overpay by moving useless data to your expensive AI platforms. The Classify360 Platform is comprehensive, simple to implement, scale, and operate. Businesses leverage the Classify360 Platform for unstructured data discovery, classification, business workflows, remediation actions, and insightful reporting. Congruity360 continues to tackle additional data governance challenges through innovations to the Classify360 Platform to continue delivering revolutionary data governance and classification, at scale, to the enterprise world. ABOUT CONGRUITY360 Congruity360 delivers the only data life cycle management solution built on a foundation of classification, by expert data storage engineers alongside expert data privacy consultants. The Classify360 Platform is easy to implement, requires no outside consultants, and quickly analyzes your data at the petabyte scale in days, not weeks or months.

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

Events