This paper describes the problems of multi-source data discovery through the eyes of a typical business analyst, highlighting the difficulties encountered when using traditional manual methods of prior data integration. A modern, high-level architecture—the integrated information platform—is introduced that positions and explains data virtualization. The value of this technology in delivering business insight from data is then presented.

Finally, we explore a new offering, IBM Fluid Query, and the set of data virtualization functionality it offers through IBM PureData System for Analytics, IBM BigInsights and other IBM data management products. This initial offering provides valuable functions and also shows the direction of IBM thinking in this emerging area of data management function and value enablement.

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