One of the biggest challenges data scientists face in the business world today is making sense of unstructured data. The volume, variety and velocity of data continues to explode and it is up to data scientists to figure out how to transform the information into something meaningful and useful. But how do you begin to make sense of data when such vast quantities are being generated in different formats, often without existing labels? There’s so much information being gathered that it is difficult to keep track, let alone determine which data to keep and analyze.

Part of the problem is that many organizations are collecting data when it isn’t necessarily clear what insights they might glean from it. Take the NFL for example. The league is now using mobile devices to track the X/Y/Z coordinates of every player on the field, and the ball to a resolution of inches. Multiply that by 18 stadiums, 32 teams and multiple games – and you can start to see the challenge facing data scientists that have been hired to figure out how to put all that new data to good use.

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