Data virtualization is playing an increasingly important role in enterprise data integration strategies because of the business value that it brings, according to a survey. More than 47 percent of respondents have an interest in using data virtualization in their enterprise infrastructures.
Respondents identified three primary ways in which data virtualization adds value to enterprises: by improving data delivery and access, reducing infrastructure costs, and making data sources and infrastructure transparent to data consumers.
Additional value identified includes improving staff productivity, reducing risk of missing deadlines and improving the ability to meet demanding service level agreements (SLAs).
According to the survey, the best use cases for data virtualization include analytics/BI (64.1 percent), followed by real-time data sharing (49.6 percent), virtual data marts (39.3 percent), extending/augmenting existing data warehouses (38.5 percent), cloud computing (36.8 percent) and Service-Oriented Architecture (SOA) (23.9 percent).
Comment from Robert Eve, EVP of Marketing, Composite Software: Beyond quantifying data virtualization's growing enterprise adoption, this survey parallels the significant business value that we have seen in our installed base. Not only does data virtualization help reduce costs, which is an immediate boost in these current times of economic recovery, but it also provides long-term value by improving and speeding up access to business critical information.
The online survey was sponsored by Composite Software, Inc. The 143 respondents included developers, database administrators, software engineers and managers, business intelligence (BI) consultants, and CIOs.
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