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Ron Powell

Thanks for visiting my blog. As co-founder of the BeyeNETWORK, acquired by TechTarget in 2010, I am privileged to participate in many industry-related activities as a BeyeNETWORK expert covering business intelligence and analytics. These events provide me with a unique insider perspective into the business intelligence ecosystem, its products and the vendors that provide those products. I'll be sharing that invaluable information with you through this blog, which will also be a reflection my business philosophy. And, just to make this interesting, I'll be sure to include my personal point of view on a wide range of topics and share some of the stories of people I meet in my travels.

About the author >

Ron, an independent analyst and consultant, has an extensive technology background in business intelligence, analytics and data warehousing. In 2005, Ron founded the BeyeNETWORK, which was acquired by Tech Target in 2010. Prior to the founding of the BeyeNETWORK, Ron was cofounder, publisher and editorial director of DM Review (now Information Management). Ron also has a wealth of consulting expertise in business intelligence, business management and marketing. He may be contacted by email at rpowell@wi.rr.com.

More articles and Ron's blog can be found in his BeyeNETWORK expert channel. Be sure to visit today!

Recently in Big Data Category

The ability to gain insight and visibility from your storage assets will revolutionize the storage market. DataGravity has just introduced the DataGravity Discovery Series, which redefines storage by providing storage visualization, file analysis, information discovery, activity tracking and data security. I believe that data-aware storage will provide a quantum shift in the way enterprises utilize their stored data assets and ultimately lead to a significant competitive advantage. 

Posted August 25, 2014 3:00 PM
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I recently interviewed Michael Howard of C9 and we discussed how C9 is solving one of the most difficult problems facing large organizations today, which is in predicting revenue. By integrating both operational and big data sources within an application, most CFOs and financial organizations can more accurately predict future revenue numbers and mitigate earnings surprises that hamper many private and public companies today. The application is currently being utilized by some of the biggest companies today for predictive analytics - they include Google, Pandora and LinkedIn. Click here to listen to this podcast now or read it here.

Posted January 8, 2014 10:00 AM
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I recently conducted an interview with Rich Ghiossi, VP of marketing for Treasure Data, and Suzanne Hoffman, Head of Analyst Relations for Tableau. We focused on their joint approach to simplifying and transforming the way companies derive value from big data. This approach allows the business executive to analyze big data by utilizing managed services, reducing the burden on IT departments that are focused on operational needs. In this podcast, they share their insights regarding some of their joint customers who are effectively addressing key initiatives around big data. Click here to listen to this podcast now or read it here.

Posted January 3, 2014 7:00 AM
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I recently interviewed Hannah Smalltree, and we discussed several major trends that she is seeing as a result of her work with several customers at Treasure Data. In this podcast, Hannah provides her insight into why time to value, immediate use and the cloud are of strategic importance to big data implementations. Click here to listen to this podcast now or read it here.

Posted December 19, 2013 8:00 AM
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I recently interviewed Richard Winter, and we discussed the new TCOD (Total Cost of Data) metric that he developed. In this podcast, Richard provides several examples of how this metric can be utilized to determine the best data platform for a project. This new metric is definitely needed for big data projects as the old methods really do not apply anymore. Click here to listen to this podcast now or read it here.

Posted November 11, 2013 6:00 AM
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