Posted by: David Besemer
Agility, analytics, Composite Software, Data Federation, Data Virtualization, Hubs, sandbox, Strategy
Richard Sherman, founder of Athena IT Solutions, which provides business intelligence, data integration and data warehouse consulting and training, has published two new white papers describing a new generation of analytical sandboxes and analytical hubs and their emerging role in enabling agile analytics.
Analytic Sandboxes and Data Hubs
Rick believes these two architectural frameworks, analytical sandboxes and analytical hubs, form the foundation for the kind of agile, self-service data integration required when developing the new analytics required today.
White Paper Format Provides Depth
The new papers focus on the specific business needs and technology solutions—including data virtualization—for implementing analytical sandboxes and hubs, Analytics Best Practices: The Analytical Sandbox and Analytics Best Practices: The Analytical Hub.
The white papers are follow Rick’s previously published A Better Way to Fuel Analytical Needs, where he explores writes the potential value of business analytics and the amount of data to fuel it are significantly expanding, yet business intelligence and data-integration backlogs are constraining enterprises attempting to tap that value.
Data Is the Key to Analytics Success
Rick recognizes the analytic data challenge that occurs as organizations struggle with the constant influx of data and ever-changing business environment, business analysts need to access increasingly diverse data sets, inside and outside their organization.
Analytical sandboxes and hubs powered by data virtualization address the multiple-query challenges of situational business analytics and provide enterprise-scale processing, storage and networking capabilities while avoiding the pitfalls of makeshift data shadow systems.
Data Virtualization Provides Agility and Flexibility
According to Rick, “Data-integration capability will expand beyond traditional ETL to include data virtualization, which enables organizations to expand the data used in their analysis without requiring that it be physically integrated. Companies do not have to get IT involved (via business requirements, data modeling, ETL and BI design) every time data needs to be added. This iterative and agile approach supports data discovery more productively for both business and IT.”
Learning From an Expert Who Does It Everyday
I like Rick. He is a sharp guy with more than 25 years of experience in delivering BI solutions and is an author and a visiting lecturer at Northwestern University. I hope you find his white papers an essential resource in your analytics journey.
In addition, if you like webinars, check out the one Rick and I did together few months ago Webcast: A Better Way to Fuel Analytical Needs
Finally, you can stay abreast of all of Rick’s latest insights on his blog The Data Doghouse.