Agile Analytics Infographic

4 Reasons Your Big Data Analytics Must Be Agile

We’re just seeing the tip of the iceberg of big data’s impact.

The next few years will present startling challenges for IT teams. IDC estimates that by 2020, daily internet transactions will reach 450 billion. During 2018, 50% of enterprises will be competing using advanced analytics, and decision optimization will be a best practice.

Your competitors are looking for a big data advantage —and if you don’t keep up, you’re likely to fail. Why? Complex and evolving analytics needs, too many tools, rapidly changing environments, and time to value that is just too slow.

Cray’sUrika®-GX agile analytics platform gives data scientists:

Higher-quality results
and new insights

Better visibility

Higher-frequency
decisions


The Urika-GX platformcan help IT teams neutralize the difficulty of:

  • Lag times to analysis
  • Frankenclusters and analytics sprawl
  • Keeping up with torrents of tools

Download

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