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Informatica Data Virtualization Experts Forum Survey Results

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Here are the polling results from the Informatica Data Virtualization Expert's Forum.

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Informatica Data Virtualization Experts Forum Survey Results

  1. 1. Data Virtualization Expert’s Forum Featuring: Leading Industry Analysts, End-Users & Implementers During this program, the audience was polled on ideas, drivers and challenges for executing data virtualization. The following slides show their responses. The analysts, architects and implementers speaking on the program agreed that the highest scoring answers were typical of what they are seeing in the market or in their organizations and shared their advise and experiences for taking the next steps to success. To hear the expert’s discussion, download the transcript and access a variety of useful resources, go to: http://bit.ly/DataVirtualizationForum Join future discussions in the Architect-to-Architect & Business Value Webinar Series! Go to the Data Virtualization Corner for details on upcoming sessions: http://bit.ly/DataVirtualizationCornerSponsored by:
  2. 2. Best Use Cases for Data Virtualization What are the use cases you believe data virtualization is applicable in your environment? Enabling more Agile Business Intelligence and Analytics 43.8% Implementing Data Services for SOA 20.5% Providing a Complete View along with MDM software of master and transactional data 15.1% Implementing a data access layer to support modernization 20.5% No use cases at this time 0%Data Virtualization Expert’s Forum – Oct 6, 2011
  3. 3. Biggest Roadblocks to Getting Started What do you perceive as the biggest roadblocks to getting started? Getting agreement across IT stake-holders 25.6% Finding the budget 18.6% Business buy-in 9.3% Demonstrating ROI 24.4% Risk of new technology 12.8% Lack of relevant knowledge and skills 9.3%
  4. 4. Business Drivers for Data Virtualization What are the business drivers for data virtualization in your company? Fast and direct access to data for reporting 59.6% Complete view of master and transactional data 14.9% Data abstraction layer 21.3% Not business critical 4.3%
  5. 5. Critical Technologies for Data Virtualization Which technologies do you think are critical in your data virtualization project? (Select all the apply) Data Quality 73.2% ETL 47.9% ESB/EAI 21.1% BPM 23.9% Data modeling 63.4% Caching 45.1%
  6. 6. Learn more…visit the replay consoleTo hear the program, download the transcript and access a variety of usefulresources provided by industry experts, go to: http://bit.ly/DataVirtualizationForum Join future discussions in the Architect-to-Architect & Business Value Webinar Series! Go to the Data Virtualization Corner for details on upcoming sessions: http://bit.ly/DataVirtualizationCorner

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