Big Data Analytics Solutions: How Much Will It Cost?

If you’re concerned about how long will it take before you see ROI from an investment in big data analytics technology, you’re not alone. According to research by Enterprise Strategy Group (ESG), 77 percent of individuals who lead their organizations’ big data and analytics strategies believe ROI can take six months to start showing up.

Add to that the fact that data analytics technology is just one part of a much broader environment that cuts across numerous teams, and it’s no wonder that finding the best solution can be a daunting task.

To help organizations sift through the challenges, ESG, an IT industry analysis and strategy firm, has published a white paper titled “Improving Analytics Economics with Cray; Comparisons to the Cray® Urika®-GX Agile Analytics Platform.” Authors Nik Rouda and Mike Leone begin with this question:

“Given that 1) analytics is a top priority, 2) time-to-value is generally too long, 3) quality will depend on having a well-defined and tightly integrated stack, and 4) significant effort and expenses may be incurred, how should enterprises proceed?”

They then compare the use of the Cray Urika-GX agile analytics platform vs. a do-it-yourself, build-your-own approach. The cost comparison includes:

  • Three-year TCO of the Urika system vs. a commodity approach
  • Capital and operational expenses
  • Core components plus associated support and licensing

According to the authors, their comparison of capital and operational expenses shows that the Cray Urika solution provides a “uniquely compelling value proposition.”

Check out this Cray infographic for a big-picture look at the findings.

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