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. You will learn to:
- 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.