Boost Your Digital Intelligence With Big Data

Holger Kisker

But Avoid Ending Up With A Zoo Of Individual Big Data Solutions

We are beyond the point of struggling over the definition of big data. That doesn’t mean that we've resolved all of the confusion that surrounds the term, but companies today are instead struggling with the question of how to actually get started with big data.

28% of all companies are planning a big data project in 2014.

According to Forrester's Business Technographics™ Global Data And Analytics Survey, 2014, 28% of the more than 1600 responding companies globally are planning a Big Data project this year. More details and how this splits between IT and Business driven projects can be found in our new Forrester Report ‘Reset On Big Data’.

Or join our Forrester Forum For Technology Leaders in London, June 12&13, 2014 to hear and discuss with us directly what Big Data projects your peers are planning, what challenges they are facing and what goals they target to achieve.

Big data can mean different technologies.

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The Pragmatic Definition Of Big Data

Mike Gualtieri

Big Data Definition, Mike Gualtieri, ForresterForget About The Three Vs

Big data is not defined by how you can measure data in terms of volume, velocity, and variety. The three Vs are just measures of data how much, how fast, and how diverse? A quaint definition of big data to be sure, but not an actionable, complete definition for IT and business professionals. A more pragmatic definition of big data must acknowledge that:

  • Exponential data growth makes it continuously difficult to manage — store, process, and access.
  • Data contains nonobvious information that firms can discover to improve business outcomes.
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