Wikibon research has demonstrated that most Big Data projects in 2014 actually lost money, returning an average of 55 cents on the dollar. However, a few companies stood out, with ROI of three times or more on their Big Data investments.
Interviews with those companies show that one thing their Big Data projects have in common is inline analytics driving algorithms that directly drive change in operational systems-of-record, writes Wikibon CTO David Floyer in “Follow the Money: Big Data ROI and Inline Analytics.” These algorithms were usually supported by data tables derived from deep data analytics from Hadoop systems and/or data warehouses. This allowed these organizations to improve operational processes across the company as a whole rather than just “enlightening the few with pretty historical graphs.”
Author: Bert Latamore