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More Data, More Problems?

Summary: In the world of big data, processes must be scaled up to handle the increasing streams of data. Ensuring data is correct and clean is just as important as learning how to handle and use data. Inconsistent, inaccurate or incomplete data can lead to mistakes and catastrophes, both big and small. Understanding the origins of a data stream is only one piece of the puzzle, however. Clean and accurate data is analogous to frequent calibration practices for manufacturing machinery: without it, mistakes will happen frequently and may go unnoticed for some time.

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  • Topics: Six Sigma
  • Keywords: Big data, Data collection, Accuracy and precision, Confidence, Failure
  • Author: Netherton, Gary S.
  • Journal: Six Sigma Forum Magazine