Over at IBM’s Big Data Hub, James Kobielus writes that while Big data has value, the stewardship of that information also has a “disvalue” with business, legal, and compliance risks.
The chief risk factor surrounding big data is not knowing the potential future downsides associated with your failure to manage it all effectively. Making the risk factors transparent for all of your big-data sets—unstructured, structured and all gray areas in between—should be a top business priority. The above-referenced article presents a rigorous approach for modeling and measuring the risks associated with unstructured data. Actually, the advice he provides could be applied to any data set: document what’s known about the data, evaluate the data’s risk factors, and quantify the dollar value of potential downside risks.
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