Study Finds Four Stages of Big Data and No Universal Solution
November 2, 2012
Get ready for another study on big data. This one is from IBM and the study was conducted in conjunction with University of Oxford. Forbes gives the report in “The Four Phases of Big Data.” This study surveyed 1,061 companies around the world. From this data, IBM identified four phases of big data adoption, which include educate, explore, engage and execute.
Twenty four percent of the 1,061 companies interviewed were in the educate phase, with another forty-seven percent having moved up to the explore phase. Just 6 percent of the respondents had made it the execute phase. Notably, this study concluded that big data leadership transitions from the realm of IT to business leaders as big data strategies are adopted over time.
The author shared the following overarching thoughts:
We’ve always had data. Social networks and mobile devices simply create more data. Today, we have the opportunity to store and analyze this data more effectively than in the past. Unfortunately, there is no “one size fits all” solution for big data. The solution requirements vary based on criteria such as need for real-time analytics; need to support wide varieties of unstructured data and volume of data. As we can see from the IBM study, big data adoption is in its infancy.
No “one size fits all” solution for big data is dead-on right. We have seen great innovations from many companies. Recently, PolySpot has piqued our interest, but companies need to do the leg work necessary to research the best fit for their needs.
Megan Feil, November 2, 2012
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