As the data and analytics space evolves and the significance of data science in business grows, many organizations need a safe environment to connect their data to the real world. As organizations are flooded with a wealth of data, their traditional systems fail to deliver the insights. Traditional data warehousing and business intelligence processes often take time to respond. As a result, they do not necessarily cater to rapidly evolving business requirements. For this, enterprises focus on transforming traditional data warehouses into modern infrastructures through analytical sandboxes. Ana ..read more

Organizations seek innovative strategies to extract valuable insights and drive informed decision-making to meet their organizational goals in the growing business analytics landscape. The data analytics sandbox has emerged as the most crucial business intelligence tool for providing controlled environments for testing and analyzing data. However, implementing business analytics presents challenges. Data must remain current as business environments rapidly evolve. However rigid, legacy architectures often cannot adapt quickly enough to changing requirements. This inability to scale with growin ..read more

As the data and analytics space evolves and the significance of data science in business grows, many organizations need a safe environment to connect their data to the real world. As organizations are flooded with a wealth of data, their traditional systems fail to deliver the insights. Traditional data warehousing and business intelligence processes often take time to respond. As a result, they do not necessarily cater to rapidly evolving business requirements. For this, enterprises focus on transforming traditional data warehouses into modern infrastructures through analytical sandboxes. Ana ..read more

Organizations seek innovative strategies to extract valuable insights and drive informed decision-making to meet their organizational goals in the growing business analytics landscape. The data analytics sandbox has emerged as the most crucial business intelligence tool for providing controlled environments for testing and analyzing data. However, implementing business analytics presents challenges. Data must remain current as business environments rapidly evolve. However rigid, legacy architectures often cannot adapt quickly enough to changing requirements. This inability to scale with growin ..read more

Is your organization making the most of the wealth of customer data? With Customer Intelligence (CI), you can gain a more complete understanding of your customers, predict their needs, and deliver personalized services at the right time and via the right channel. Through CI, organizations can enhance their services, build stronger relationships, optimize marketing initiatives, and identify new opportunities and trends in the market.    However, without well-defined BI framework and data architecture, using these insights can lead to misaligned sales, customer churn, and lost revenue ..read more

Webinar: An action plan for customer intelligence Understanding the customer is a long-standing goal of BI and Analytics, but striving toward that 360 degree view is only half the battle. Knowing what to do next is critical. With sufficient context, companies can gain enough intelligence about their customers to make highly educated guesses about how to keep them satisfied in an increasingly competitive world. Learn from several experts about how BI and Analytics can help companies better understand and serve their customers. Host @Eric_Kavanagh will interview Rick Sherman of Athena IT Solutio ..read more

Data architects collect the statistics and information architects put the numbers into context as they work symbiotically to bolster an enterprise’s data and business strategies. Read Rick Sherman’s article on the TechTarget site ..read more

Rick Sherman’s TechTarget article discusses three types of data models and seven data modeling techniques that are available to data management teams to convert mountains of information into valuable business intelligence. Read the article ..read more

From Talend: Rick Sherman is an author, educator, and a managing partner of Athena IT Solutions.  His book, Business Intelligence Guidebook: From Data Integration to Analytics, was published by Morgan Kaufmann in 2014.  As an educator, he has worked as an adjunct professor for over thirteen years at Northeastern University and teaches classes on business intelligence, analytical architecture, data integration and data warehousing. He has more than thirty years of experience in big data and warehousing solutions. His experience along with his passion for educating ..read more

Why does self-service BI have to hurt so much? In theory, it should be the answer to all your problems. But so many enterprises end up disappointed. They’re overwhelmed with data, yet suffering from a shortage of useful information. They can’t gain insights. And it’s causing data chaos and anarchy. >>> Read the full article on SearchBusinessAnalytics ..read more