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

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/DataVirtualizationCorner
Sponsored by:

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. 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. 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. 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. Learn more…visit the replay console
To hear the program, download the transcript and access a variety of useful
resources 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