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10 Ways To Stumble With Big Data – Lars Albertsson

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Many companies have data with great potential. There are many ways to go wrong with Big Data projects, however; the difference between a successful and a failed project can be huge, both in cost and the return of investment. In this talk. we will describe the most common pitfalls, and how to avoid them.

Key Points:

  • Be aware of the existing risk factors in your organisation that may cause a data project to fail.
  • Learn how to recognise the most common and costly causes of project failure.
  • Learn how to avoid or mitigate project problems in order to ensure return of investment in a lean manner.

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