Posted by: Robert Eve
Case Studies, Composite Data Virtualization Platform, Data Federation, Data Virtualization, Enterprise Architecture, Market Trends
Last week, I attended Forrester Research’s Forum conference in Washington DC. This conference targets a number of IT roles including CIOs, Enterprise Architects, Risk /Security managers, Infrastructure & Operations leaders, and Vendor Sourcing professionals. This is the Enterprise Architecture program’s fifth year. And I have enjoyed all five.
Architecting Tomorrow’s Business Outcomes
Architecting Tomorrow’s Business Outcomes was the conference theme. The conference’s stated objective was to help attendees develop intelligent responses to technology disruptions.
Said another way, how can you achieve better business outcomes by taking advantage of new and changing technology?
Data Virtualization is a Key Sub-Theme
In the session titled Real-Time Business – Lessons from Leaders, Brian Hopkins from Forrester, John Hershberger from USAA, Peter Memon of Barclays, and Phil Shelley of Sears Holdings described how their firms are pushing the big data envelope for better business outcomes including improving customer service, reducing risk, cutting costs and more.
Memon spoke specifically about the role data virtualization plays in Barclay’s big data strategy. He used a credit trading risk management application as an example. In this case, they use data virtualization to join together current trading data on the trading systems with historical trading data stored in Hadoop.
WIth this approach, for the first time, the credit risk analytics have immediate access to historical data that due to the high volumes and high traditional storage costs, used to be stored on tape. The better business outcome is improved risk management, without extra costs.
Data Consolidator, Investor or Innovator
In the session titled The Data Management Technology Landscape, Forrester Analyst Michele Goetz described a maturity continuum where high performance companies move beyond traditional data consolidation-centric strategies by investing in innovating using new approaches such as data virtualization and big data.
In fact, Goetz went so far as to say that if you are going to do big data, then you have to do data virtualization as well.
That certainly aligns with Barclay’s experience above.
Catching Up with Analysts and Users
The conference also proved a great way to catch up with analysts such as Hopkins and Goetz, as well as Boris Evelson who covers data virtualization as a key enabler in his agile BI research.
It was also useful to discuss data virtualization adoption with users beyond Barclays, including Aflac, Kaplan, Pioneer Natural Resources, and more.
Interestingly, Pioneer’s Martha Gardill will be speaking about data virtualization in her talk Responding to Change with Agility later week at the Petroleum Network Education Conference in Houston.
Will I See You Next Year?
If the past is a good guide, then I expect I will go to this conference again next year. I hope to see you there.
And in the meantime, if you want to learn more about what analysts and users have to say about data virtualization, check out the Data Virtualization Channel on YouTube.
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