March 11, 2013 3 Comments
Last week we announced the industries’ first Data Virtualization certification program, the Composite Information Server Specialist Certification.
January 23, 2013 1 Comment
I have spent a number of years in the BI space including time with innovators including Business Objects and EMC. In my opinion, the opportunity for business people to perform new types of analysis to gain greater insight into their business and customers has never been greater.
May 22, 2012 Leave a comment
Because of both organizational resistance and technological concerns, enterprises often struggle when adopting new data management technologies such as data virtualization. In this blog, I will examine five common organizational hurdles to data virtualization adoption.
March 5, 2012 Leave a comment
In this series of three blog posts, I am passing along the best practice lessons from the ten organizations profiled in Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility.
In Part 1 and Part 2, I identified three best practice areas. In Part 3, the final blog in this series, I’ll add two more.
February 27, 2012 Leave a comment
In this series of three blog posts, I am passing along the best practice lessons from the ten organizations profiled in Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility.
February 20, 2012 Leave a comment
Enterprise adoption of data virtualization continues to accelerate driven by organization demands for greater business agility and lower IT costs.
My professional services team has deployed Composite data virtualization offerings in support of hundreds of implementations. From this work a number of best practices have emerged.
October 7, 2011 Leave a comment
As with any new technology, organizations begin the data virtualization adoption process with a business justification and a technical evaluation, followed by a phased implementation.
September 15, 2011 Leave a comment
Many technical articles and white papers define data governance, so it does not make sense to include a lengthy treatment here. However, it is helpful for our discussion to identify data governance’s most critical requirements.
September 13, 2011 2 Comments
While we may not want to admit it, traditional data integration approaches make data governance harder. By addressing traditional data integration in a new way, data virtualization avoids or lessens the impact of the three biggest data governance traps.
August 30, 2011 Leave a comment
Poor data quality costs businesses billions every year. It forces business leaders to make poor decisions. It increases customer dissatisfaction and churn, reducing revenues. It increases costs by forcing remediation. It discourages employees by setting a low performance bar.
Yet, even with these significant issues, enterprises struggle to improve data quality.
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David Besemer
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