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6 Best SaaS Marketing Metrics for Business Growth

SHAIVI CHAPALGAONKAR | July 22, 2021 | 356 views

The software-as-a-service industry is rapidly growing with an estimate to reach $219.5 billion by 2027. SaaS marketing strategies is highly different from other industries; thus, tracking the right metrics for marketing is necessary. SaaS kpis or metrics measure an enterprise’s performance, growth, and momentum. These saas marketing metrics are have been designed to evaluate the health of a business by tracking sales, marketing, and customer success. Direct access to data will help you develop your business and show whether there is any room for development.

SaaS KPIs: What Are They and Why Do They Matter?

Marketing metrics for SaaS indicate growth in different ways. SaaS KPIs, just like regular KPIs, helps business to evaluate their business models and strategies. These key metrics for SaaS companies give a deep insight into which sectors perform well and require reassessment. To optimize any company’s exposure, SaaS metrics for marketing are highly essential. They measure the performance of sales, marketing, and customer retention. SaaS companies believe in the entire life cycle of the customer, while traditional web-based companies focus on immediate sales. The overall goal of SaaS companies is to build long-lasting customer relationships since most revenue is generated through their recurring payments.

SaaS marketing technology are SaaS marketers’ greatest asset if they take the time and effort to understand and implement them. There are essential and unimportant metrics. Knowing which metrics to pay attention to is a challenge. Once you get these metrics right, they will help you to detect your company’s strengths and weaknesses and help you understand whether they are working or not.

There are more than fifteen metrics one can track but make you lose sight of what matters. In this article, we have identified the critical metrics every SaaS should track:

Unique Visitors

This metric measures the number of visitors your website or page sees in a specific time period. If someone visits your website four to five times in that given time period, it will be counted as one unique visitor. Recording this metric is crucial as it shows you what type of visitors your site receives and from what channels they arrive. When the number of unique visitors is high, it indicates to the SaaS marketers that their content resonates with the target customers. It is vital to note, however, which channels these unique visitors reach your website. These channels can be:

  • Organic traffic
  • Social media
  • Paid ads

SaaS marketers should, at this point, identify which channels are working and double down on those. Once you know these channels, you can allocate budgets and optimize these channels for better performance.

Google Analytics is the best free tool to track unique visitors. The tool enables you to refine by dates and compare time periods and generate a report.

Leads

Leads is a broad term that can be broken down into two sub-categories: Sales Qualified Leads (SQL) and Marketing Qualified Leads (MQL). Defining SQL and MQL is important as they can be different for every business. So, let us break down the definitions for the two:

MQL

MQLs are those leads that have moved past the visitor phase in the customer lifecycle. They have taken steps to move ahead and become qualified to become potential customers. They have engaged with your website multiple times. For example, they have visited your website to check out prices, case studies or have downloaded your whitepapers more than two times.

SQL

SQLs actively engage with your site and are more qualified than MQLs. This lead is what you have deemed as the ideal sales candidate. They are way past the initial search stage, evaluating vendors, and are ready for a direct sales pitch. The most crucial distinction between the two is that your sales team has deemed them sales-worthy.

After distinguishing between the two leads, you need to take the next appropriate steps. The best way to measure these leads is through closed-loop automation tools like HubSpot, Marketo, or Pardot. These automation tools will help you set up the criteria that automatically set up an individual as lead based on your website's SQL and MQL actions. Next, track the website traffic to ensure these unique visitors turn into potential leads.

Churn

The churn rate, in short, refers to the number of customers lost in a given time frame. It is the number of revenue SaaS customers who cancel their recurring revenue services. Since SaaS is a subscription-based service, losing customers directly correlates to losing money. The churn rate also indicates that your customers aren’t getting what they want from your service.

Like most of your saas KPIs, you will be reporting on the churn rate every month. To calculate the churn rate, take the total number of customers you lost in the month you’re reporting on. Next, divide that by the number of customers you had at the beginning of the reporting month. Then, multiply that number by 100 to get the percentage.

A churn is natural for any business. However, a high churn rate is an indicator that your business is in trouble. Therefore, it is an essential metric to track for your SaaS company.

Customer Lifetime Value

Customer lifetime value (CLV) measures how valuable a customer is to your business. It is the average amount of money your customers pay during their involvement with your SaaS company. You measure not only their value based on purchases but also the overall relationship. Keeping an existing client is more important than acquiring a new one which makes this metric important.
Measuring CLV is a bit complicated than measuring other metrics. First, calculate the average customer lifetime by taking the number one divided by the customer churn rate. As an example, let’s say your monthly churn rate is 1%. Your average customer lifetime would be 1/0.01 = 100 months.

Then take the average customer lifetime and multiply it by the average revenue per account (ARPA) over a given time period. If your company, for example, brought in $100,000 in revenue last month off of 100 customers, that would be $1,000 in revenue per account.

Finally, this brings us to CLV. You’ll now need to multiply customer lifetime (100 months) by your ARPA ($1,000). That brings us to 100 x $1,000, or $100,000 CLV.

CLV is crucial as it indicates whether or not there is a proper strategy in place for business growth. It also shows investors the value of your company.

Customer Acquisition Cost

Customer acquisition cost (CAC) tells you how much you should spend on acquiring a new customer. The two main factors that determine the CAC are:

  • Lead generation costs
  • Cost of converting that lead into a client

The CAC predicts the resources needed to acquire new customers. It is vital to understand this metric if you want to grow your customer base and make a profit. To calculate your CAC for any given period, divide your marketing and sales spend over that time period by the number of customers gained during the same time. It might cost more to acquire a new customer, but what if that customer ends up spending more than most? That’s where the CLV to CAC ratio comes into play.

CLV: CAC Ratio

CLV: CAC ratio go hand in hand. Comparing the two will help you understand the impact of your business. The CLV: CAC ratio shows the lifetime value of your customers and the amount you spend to gain new ones in a single metric. The ultimate goal of your company should be to have a high CLV: CAC ratio. According to SaaS analytics, a healthy business should have a CLV three times greater than its CAC. Just divide your calculated CLV by CAC to get the ratio. Some top-performing companies even have a ratio of 5:1.

SaaS companies use this number to measure the health of marketing programs to invest in campaigns that work well or divert the resources to those campaigns that work well.

Conclusion

Always remember to set healthy marketing KPIs. Reporting on these numbers is never enough. Ensure that everything you do in marketing ties up to all the goals you have set for your company. Goal-driven SaaS marketing strategies always pay off and empower you and your company to be successful.

Frequently Asked Questions

What are the 5 most important metrics for SaaS companies?

The five most important metrics for SaaS companies are Unique Visitors, Churn, Customer Lifetime Value, Customer Acquisition Cost, and Lead to Customer Conversion Rate.

Why should we measure SaaS marketing metrics?

Measuring marketing metrics are critically important because they help brands determine whether campaigns are successful, and provide insights to adjust future campaigns accordingly. They help marketers understand how their campaigns are driving towards their business goals, and inform decisions for optimizing their campaigns and marketing channels.

How to measure the success of your SaaS marketing?

The success of SaaS marketing can be measured by identifying the metrics that help them succeed. Some examples of those metrics are: Unique Visitors, Churn, Customer Lifetime Value, Customer Acquisition Cost, and Lead to Customer Conversion Rate.

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Leveraging Big Data for Competitive Advantage: Benefits

Article | July 18, 2023

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.

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Mastering BI: Key Business Intelligence Events to Attend in 2023

Article | May 15, 2023

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.

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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.

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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.

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Business Intelligence, Big Data Management, Big Data

Leveraging Big Data for Competitive Advantage: Benefits

Article | July 18, 2023

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.

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Business Intelligence, Big Data Management, Big Data

Harnessing the Power of Big Data: Events to attend in 2023

Article | May 15, 2023

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.

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Business Intelligence, Enterprise Business Intelligence

Mastering BI: Key Business Intelligence Events to Attend 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.

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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.

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Logixml Inc

LogiXML, the leader in interactive, Web-based Business Intelligence, empowers enterprises to turn data into business-critical information with pure Web-based reporting and analysis products. The Company offers a comprehensive platform that addresses all key areas of BI - managed reporting, ad hoc reporting, analysis and data services. Used by thousands of organizations worldwide, LogiXML products are built on standards-based technologies for easy integration, implementation and upgrade. LogiXML's per server pricing model makes its powerful technology the most affordable BI solution on the market. Founded in 2000, LogiXML is privately held and venture backed company based in McLean, Virginia.

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Ancoris named Rising Star for Data Analytics and Machine Learning in ISG Provider Lens™ Google Cloud Partner Ecosystem for second consecutive year

PR Newswire | August 14, 2023

Ancoris, a UK-based Google Cloud services provider, has been named a Rising Star for a second consecutive year for Data Analytics and Machine Learning in ISG Provider Lens™ Google Cloud Partner Ecosystem. The report released by ISG yesterday provides a comprehensive overview of the Google partner landscape, alongside analysis of strengths and development areas of each individual provider. The Google ecosystem is becoming larger and more dynamic than ever before, according to the 2023 report. "We are thrilled to be so well represented against our peers for our offerings in Data Analytics and Machine Learning - the fastest growing and most intensely competitive part of the Google ecosystem - for the second year running," says Andre Azevedo, CEO of Ancoris. "Our persona-based offerings are instrumental in helping customers solve challenges by focusing on business value, rather than the tech - it's fantastic to see ISG recognise that. And personally, the competitor in me is feeling really proud today!" "We know that Enterprises are increasingly looking to Google Cloud to extract greater value from their data; and rightly so. Google's technology offerings around Data, Machine Learning, AI - and now Generative AI - are industry leading and truly Enterprise-grade," says Matt Frank, Chief AI and Innovation Officer at Ancoris. "After launching our Generative AI practice earlier this year, we've seen a rush of customers eager for help building rapid prototypes to prove out the value of Gen AI within their business. This recognition from ISG for Ancoris as a Rising Star and Google as the leading provider for Data technology only validates what we already know - customers can (and should) trust us to help them make the most of their data on Google Cloud!" Beyond its recognition in the Data Analytics and Machine Learning quadrant as a Rising Star, Ancoris is also the only Google-dedicated partner to appear across all other three quadrants it responded to: Implementation and Integration, Managed Services, and Workspace Services. "When we talk about being an end-to-end Google Cloud partner, we mean it, " says Azevedo. "From Maps, to Workspace and collaboration, to building new applications on Google Cloud - we're proud to have robust, mature services across a customer's full Google Cloud journey." About Ancoris Ancoris is a leading Google Cloud Services Provider, headquartered in the UK, which helps customers innovate and transform through the use of Google Cloud. We have extensive experience in Google Cloud technologies helping enterprises integrate AI-native solutions into their business through expertise in Data & AI, Application and Infrastructure Modernisation, Workspace and Maps, and were recognised as a Rising Star for Data, Analytics, and Machine Learning in 2022 ISG Provider™ Lens for Google Cloud Partner Ecosystem. We employ the best in the business and were named in the Top 10 Sunday Times Best Places to Work 2023.

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Business Intelligence, Big Data Management, Data Science

Domo Named to Constellation ShortList™ for Multicloud Analytics and Business Intelligence Platforms and ShortList for Embedded Analytics

Business Wire | August 07, 2023

Today Domo (Nasdaq: DOMO) announced it was named to the Q2 2023 Constellation ShortList™ for Multicloud Analytics and Business Intelligence Platforms (BI) for the eighth consecutive year. The company was also named to the first-ever Q2 2023 Embedded Analytics ShortList. The Constellation ShortList helps organizations narrow their search for the technologies they need to meet their digital transformation goals. All shortlisted vendors were determined through Constellation’s client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research. “The Constellation ShortLists help customers identify the solutions that can support their organizations with cloud deployment, embedding and AI/ML augmentation capabilities,” said Doug Henschen, vice president and principal analyst at Constellation Research, Inc. “The ShortLists reflect the vendors that our network of buy-side clients value the most, offering capabilities such as: data integration and preparation, data storytelling, dashboarding and reporting, security, access control, governance, data cataloging, data modeling, and data management. We congratulate Domo on being named on both the ShortList for Multicloud Analytics and Business Intelligence Platforms as well as the ShortList for Embedded Analytics.” The firm evaluated more than 25 vendor solutions in the Multicloud Analytics and BI Platforms market, which included the following key criteria for inclusion: Delivery of SaaS or managed services on two or more public clouds Containerization underpinnings supporting consistent streamlined deployment and scalability across multiple clouds Data management capabilities such as data integration and self-service data preparation Breadth of analysis tools, including dashboarding, data visualization, forecasting and predictive capabilities Rich collaboration features for authors, analysts and business users In the Embedded Analytics category, Constellation evaluated over 25 solutions categorized in the market and used the following key criteria for inclusion: Microservices architectures, fine-grained application programming interfaces (APIs), RESTful interfaces, and software development kits that support flexible embedding of data, metrics, visualizations, and dashboards into a range of external destinations Support for DevOps approaches that bridge the gap between development and operations and help automate continuous integration and continuous deployment Cloud deployment options that liberate customers from system administration Low-code/no-code development and embedding options that enable nondevelopers to build custom applications and data- and insight-enable external applications Alerting and workflow options that enable organizations to trigger events, automate actions, and kick off workflows based on data- and insight-driven rules and thresholds Predictive capabilities that support proactive action and automation “We’re pleased to once again be recognized by Constellation Research for our BI and analytics leadership,” said Josh James, founder and CEO, Domo. “Domo’s inclusion in the Constellation ShortLists directly reflect the customer commitment that anchors our strategic investments and reinforces our reputation for driving customer success.” Constellation Research advises leaders on leveraging disruptive technologies to achieve business model transformation and streamline business processes. Products and services named to the Constellation ShortList meet the threshold criteria for this category as determined through client inquiries, partner conversations, customer references, vendor selection projects, market share, and internal research. The portfolio is updated at least once per year as the analyst team deems necessary based on market conditions. About Domo Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by AI, data science and a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.

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Business Strategy

Netsmart Announces the Skilled Nursing Industry’s Only Data Analytics Solution with a Complete View of Claims, MDS and Staffing

Netsmart | August 09, 2022

Netsmart announced today it has acquired CORE Analytics, the industry-leading skilled nursing facility (SNF) claims data analytics offering from Zimmet Healthcare. With the addition of Core Analytics, Netsmart Simple™ is now the only solution suite in the market capable of calculating quality measures and Five-Star ratings leveraging Minimum Data Set (MDS), Payroll-Based Journaling (PBJ) and UB-04 claims data. This new offering will enhance the Netsmart CareFabric® platform to expand data solutions and services for post-acute care organizations in the areas of quality measures reporting, benchmarking, assessment data and scrubbing, while increasing the quantity and quality of required data for health plans, Medicare and Medicaid. Through this acquisition, Netsmart now offers the most comprehensive SNF data analytics solution to integrate clinical, staffing and financial data to provide better intelligence and reimbursement optimization, with the aim of saving time for clinical and reimbursement staff. The acquisition further establishes Netsmart as a leader in the SNF market by providing technology and services to more than 50% of SNFs across the nation. Analytics are needed more than ever in the rapidly evolving and complex ecosystems of value-based care for post-acute providers, and Netsmart plans to continue to extend this same approach to all community care providers beginning with home health and hospice providers. CORE brings three new solutions into the CareFabric platform. CORE Reimbursement identifies Patient-Driven Payment Model (PDPM) revenue opportunities through logic testing and benchmarking. Value-Based Post-Acute eXchange (VPAX) measures clinical and financial outcomes necessary to demonstrate value to at-risk referral partners. Additionally, Medicare Advantage Post-Acute eXchange (MAPAX) quantifies clinical and financial performance, delivering the healthcare industry’s first claims-based intelligence and meaningful utilization data on current SNF-MA reimbursement, outcomes and value-proposition. “The integration of the CORE solutions within the Netsmart CareFabric platform, specifically with the Netsmart Simple data solutions, will change the way we support providers by connecting all of the solutions needed to unlock the full potential of claims data. “Through this collaboration with Netsmart, we can expand the capabilities of our comprehensive tools to unite the clinical, claims and staffing data to provide a holistic view of an organization. Our clients will be able to rely on the same tools and support they’ve come to expect, with the ability to leverage solutions across the Netsmart CareFabric platform.” Zimmet Healthcare President & CEO Marc Zimmet In addition to this acquisition, Netsmart and Zimmet Healthcare have entered into a collaboration to offer consulting services and referrals for the clients and communities they serve. Through this relationship, the organizations will continue to collaborate on ways to utilize the CareFabric technology portfolio and the Zimmet Healthcare domain expertise to develop and enhance each party’s solution. “The Netsmart and CORE teams share a mutual dedication to providing data solutions to inform and equip business decisions,” said Netsmart CEO Mike Valentine. “This commonality of values will further scale the Netsmart data suite to better support and help skilled nursing facilities thrive with transforming payment models. In the pursuit of organizational excellence, by combining the claims and MDS data set we can help our clients tell a complete story of the value of the care they deliver. This partnership combines the solutions to do just that.” About CORE: Z-CORE Analytics, LLC CORE Analytics is a scalable data intelligence software as a service solution providing market insights, reimbursement optimization, comparative analytics and risk management to the post-acute care industry. The company was developed by Zimmet Healthcare and automates elements of longstanding proprietary, proven consulting services. CORE builds a facility-specific, accretive claims database with current utilization as the foundation. For more information, visit www.zcoreanalytics.com. About Netsmart Netsmart, a leading provider of Software as a Service (SaaS) technology and services solutions, designs, builds and delivers electronic health records (EHRs), health information exchanges (HIEs), analytics and telehealth solutions and services that are powerful, intuitive and easy-to-use. Our platform provides accurate, up-to-date information that is easily accessible to care team members in the human services and post-acute care (which is comprised of skilled nursing, home care, hospice, palliative and senior living) markets. We make the complex simple and personalized so our clients can concentrate on what they do best: provide services and treatment that support whole-person care.

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Ancoris named Rising Star for Data Analytics and Machine Learning in ISG Provider Lens™ Google Cloud Partner Ecosystem for second consecutive year

PR Newswire | August 14, 2023

Ancoris, a UK-based Google Cloud services provider, has been named a Rising Star for a second consecutive year for Data Analytics and Machine Learning in ISG Provider Lens™ Google Cloud Partner Ecosystem. The report released by ISG yesterday provides a comprehensive overview of the Google partner landscape, alongside analysis of strengths and development areas of each individual provider. The Google ecosystem is becoming larger and more dynamic than ever before, according to the 2023 report. "We are thrilled to be so well represented against our peers for our offerings in Data Analytics and Machine Learning - the fastest growing and most intensely competitive part of the Google ecosystem - for the second year running," says Andre Azevedo, CEO of Ancoris. "Our persona-based offerings are instrumental in helping customers solve challenges by focusing on business value, rather than the tech - it's fantastic to see ISG recognise that. And personally, the competitor in me is feeling really proud today!" "We know that Enterprises are increasingly looking to Google Cloud to extract greater value from their data; and rightly so. Google's technology offerings around Data, Machine Learning, AI - and now Generative AI - are industry leading and truly Enterprise-grade," says Matt Frank, Chief AI and Innovation Officer at Ancoris. "After launching our Generative AI practice earlier this year, we've seen a rush of customers eager for help building rapid prototypes to prove out the value of Gen AI within their business. This recognition from ISG for Ancoris as a Rising Star and Google as the leading provider for Data technology only validates what we already know - customers can (and should) trust us to help them make the most of their data on Google Cloud!" Beyond its recognition in the Data Analytics and Machine Learning quadrant as a Rising Star, Ancoris is also the only Google-dedicated partner to appear across all other three quadrants it responded to: Implementation and Integration, Managed Services, and Workspace Services. "When we talk about being an end-to-end Google Cloud partner, we mean it, " says Azevedo. "From Maps, to Workspace and collaboration, to building new applications on Google Cloud - we're proud to have robust, mature services across a customer's full Google Cloud journey." About Ancoris Ancoris is a leading Google Cloud Services Provider, headquartered in the UK, which helps customers innovate and transform through the use of Google Cloud. We have extensive experience in Google Cloud technologies helping enterprises integrate AI-native solutions into their business through expertise in Data & AI, Application and Infrastructure Modernisation, Workspace and Maps, and were recognised as a Rising Star for Data, Analytics, and Machine Learning in 2022 ISG Provider™ Lens for Google Cloud Partner Ecosystem. We employ the best in the business and were named in the Top 10 Sunday Times Best Places to Work 2023.

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Domo Named to Constellation ShortList™ for Multicloud Analytics and Business Intelligence Platforms and ShortList for Embedded Analytics

Business Wire | August 07, 2023

Today Domo (Nasdaq: DOMO) announced it was named to the Q2 2023 Constellation ShortList™ for Multicloud Analytics and Business Intelligence Platforms (BI) for the eighth consecutive year. The company was also named to the first-ever Q2 2023 Embedded Analytics ShortList. The Constellation ShortList helps organizations narrow their search for the technologies they need to meet their digital transformation goals. All shortlisted vendors were determined through Constellation’s client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research. “The Constellation ShortLists help customers identify the solutions that can support their organizations with cloud deployment, embedding and AI/ML augmentation capabilities,” said Doug Henschen, vice president and principal analyst at Constellation Research, Inc. “The ShortLists reflect the vendors that our network of buy-side clients value the most, offering capabilities such as: data integration and preparation, data storytelling, dashboarding and reporting, security, access control, governance, data cataloging, data modeling, and data management. We congratulate Domo on being named on both the ShortList for Multicloud Analytics and Business Intelligence Platforms as well as the ShortList for Embedded Analytics.” The firm evaluated more than 25 vendor solutions in the Multicloud Analytics and BI Platforms market, which included the following key criteria for inclusion: Delivery of SaaS or managed services on two or more public clouds Containerization underpinnings supporting consistent streamlined deployment and scalability across multiple clouds Data management capabilities such as data integration and self-service data preparation Breadth of analysis tools, including dashboarding, data visualization, forecasting and predictive capabilities Rich collaboration features for authors, analysts and business users In the Embedded Analytics category, Constellation evaluated over 25 solutions categorized in the market and used the following key criteria for inclusion: Microservices architectures, fine-grained application programming interfaces (APIs), RESTful interfaces, and software development kits that support flexible embedding of data, metrics, visualizations, and dashboards into a range of external destinations Support for DevOps approaches that bridge the gap between development and operations and help automate continuous integration and continuous deployment Cloud deployment options that liberate customers from system administration Low-code/no-code development and embedding options that enable nondevelopers to build custom applications and data- and insight-enable external applications Alerting and workflow options that enable organizations to trigger events, automate actions, and kick off workflows based on data- and insight-driven rules and thresholds Predictive capabilities that support proactive action and automation “We’re pleased to once again be recognized by Constellation Research for our BI and analytics leadership,” said Josh James, founder and CEO, Domo. “Domo’s inclusion in the Constellation ShortLists directly reflect the customer commitment that anchors our strategic investments and reinforces our reputation for driving customer success.” Constellation Research advises leaders on leveraging disruptive technologies to achieve business model transformation and streamline business processes. Products and services named to the Constellation ShortList meet the threshold criteria for this category as determined through client inquiries, partner conversations, customer references, vendor selection projects, market share, and internal research. The portfolio is updated at least once per year as the analyst team deems necessary based on market conditions. About Domo Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by AI, data science and a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.

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Business Strategy

Netsmart Announces the Skilled Nursing Industry’s Only Data Analytics Solution with a Complete View of Claims, MDS and Staffing

Netsmart | August 09, 2022

Netsmart announced today it has acquired CORE Analytics, the industry-leading skilled nursing facility (SNF) claims data analytics offering from Zimmet Healthcare. With the addition of Core Analytics, Netsmart Simple™ is now the only solution suite in the market capable of calculating quality measures and Five-Star ratings leveraging Minimum Data Set (MDS), Payroll-Based Journaling (PBJ) and UB-04 claims data. This new offering will enhance the Netsmart CareFabric® platform to expand data solutions and services for post-acute care organizations in the areas of quality measures reporting, benchmarking, assessment data and scrubbing, while increasing the quantity and quality of required data for health plans, Medicare and Medicaid. Through this acquisition, Netsmart now offers the most comprehensive SNF data analytics solution to integrate clinical, staffing and financial data to provide better intelligence and reimbursement optimization, with the aim of saving time for clinical and reimbursement staff. The acquisition further establishes Netsmart as a leader in the SNF market by providing technology and services to more than 50% of SNFs across the nation. Analytics are needed more than ever in the rapidly evolving and complex ecosystems of value-based care for post-acute providers, and Netsmart plans to continue to extend this same approach to all community care providers beginning with home health and hospice providers. CORE brings three new solutions into the CareFabric platform. CORE Reimbursement identifies Patient-Driven Payment Model (PDPM) revenue opportunities through logic testing and benchmarking. Value-Based Post-Acute eXchange (VPAX) measures clinical and financial outcomes necessary to demonstrate value to at-risk referral partners. Additionally, Medicare Advantage Post-Acute eXchange (MAPAX) quantifies clinical and financial performance, delivering the healthcare industry’s first claims-based intelligence and meaningful utilization data on current SNF-MA reimbursement, outcomes and value-proposition. “The integration of the CORE solutions within the Netsmart CareFabric platform, specifically with the Netsmart Simple data solutions, will change the way we support providers by connecting all of the solutions needed to unlock the full potential of claims data. “Through this collaboration with Netsmart, we can expand the capabilities of our comprehensive tools to unite the clinical, claims and staffing data to provide a holistic view of an organization. Our clients will be able to rely on the same tools and support they’ve come to expect, with the ability to leverage solutions across the Netsmart CareFabric platform.” Zimmet Healthcare President & CEO Marc Zimmet In addition to this acquisition, Netsmart and Zimmet Healthcare have entered into a collaboration to offer consulting services and referrals for the clients and communities they serve. Through this relationship, the organizations will continue to collaborate on ways to utilize the CareFabric technology portfolio and the Zimmet Healthcare domain expertise to develop and enhance each party’s solution. “The Netsmart and CORE teams share a mutual dedication to providing data solutions to inform and equip business decisions,” said Netsmart CEO Mike Valentine. “This commonality of values will further scale the Netsmart data suite to better support and help skilled nursing facilities thrive with transforming payment models. In the pursuit of organizational excellence, by combining the claims and MDS data set we can help our clients tell a complete story of the value of the care they deliver. This partnership combines the solutions to do just that.” About CORE: Z-CORE Analytics, LLC CORE Analytics is a scalable data intelligence software as a service solution providing market insights, reimbursement optimization, comparative analytics and risk management to the post-acute care industry. The company was developed by Zimmet Healthcare and automates elements of longstanding proprietary, proven consulting services. CORE builds a facility-specific, accretive claims database with current utilization as the foundation. For more information, visit www.zcoreanalytics.com. About Netsmart Netsmart, a leading provider of Software as a Service (SaaS) technology and services solutions, designs, builds and delivers electronic health records (EHRs), health information exchanges (HIEs), analytics and telehealth solutions and services that are powerful, intuitive and easy-to-use. Our platform provides accurate, up-to-date information that is easily accessible to care team members in the human services and post-acute care (which is comprised of skilled nursing, home care, hospice, palliative and senior living) markets. We make the complex simple and personalized so our clients can concentrate on what they do best: provide services and treatment that support whole-person care.

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