Data virtualisation: a brief guide

Read our white paper to find out how data virtualisation can give you a swift and simplified view of complex data.

CIOs must contain costs and respond quickly to business needs with robust decision support systems.

Very often, this requires harnessing a vast array of structured and unstructured data – data which will have proliferated exponentially in recent years, with minimal governance.

One solution adopted in some organisations is to invest in a parallel business intelligence (BI) system, one that sits outside of all of the complexity. However, parallel BI systems actually introduce a whole new range of challenges and eat up investment.

The best solution is data virtualisation, the versatile "Swiss knife" in the enterprise data tool box. With data virtualisation, you can unlock value without increasing resources, processes or technology investments – no complex transformation is required to deliver results.

Our whitepaper, Data Virtualisation: a brief guide to a swift and simplified view of complex data, provides you with:

  • a summary of data virtualisation and how it works
  • an overview of when data virtualisation is viable and when it isn't
  • the use case for a flexible analytics solution
  • a summary of other considerations with data virtualisation

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