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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.

It is important to augment the existing technology investment...without having to start from scratch. Data virtualisation helps amplify this investment in existing technologies by integrating the modern technology landscape with current infrastructure investments.”

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

Download your whitepaper

To download your copy, simply fill in the form below.

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How will we use the information about you?

When you complete this form and submit your details, you are trusting us with your personal data. Our Privacy Notice informs you of what personal data we collect, why we collect it, and of your rights in relation to your data. By pressing submit, you indicate that you have read and accepted the terms of our Privacy Notice and that you consent to our processing of your personal data as described in the Privacy Notice.