Big Data winners using inline analytics to derive large ROIs from their investment

A recent poll of Wikibon community members revealed that many are implementing initial Big Data systems.

The vast majority of these, however, focus on an IT operational expense reduction in which large amounts of older company data is archived out of more expensive database engines into Hadoop. The unstructured data can be added to support deep-dive analytics, often accessible only to a relatively few people in the organization. These applications provide experience for IT, but on average have only yielded an ROI of 55 cents on each dollar invested.

Author: Bert Latamore

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