With data virtualization organizations can gain the ability to allow the business and IT sides of organizations work closer together in a much more agile fashion, reducing complexity and boosting productivity.
Data Virtualization helps customers find and analyze the data they need in hours or days, rather than months, so that they can quickly discover insights and take insight-driven action, said Mark Palmer, senior vice president of analytics, TIBCO.
"The next generation of business intelligence depends on doing more with analytics than just putting data on a graph. Data Virtualization is a key component of getting the right data at the right time to business analysts, data scientists, and automated applications using streaming analytics."
Virtualization addresses the organizations’ need to achieve a comprehensive view of their data, while avoiding the need to rip and replace physical systems already in place.
Successful solutions will offer enterprises agile development, a secure virtual data layer, and real-time data access and provisioning.
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Business users are demanding faster access to integrated data, while management is demanding more effective overall data governance. But organizations are hindered by traditional data integration approaches, which cannot accommodate streaming data, feeds from social media platforms, completely unstructured data, and other emerging formats. Read on.
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