Business Track: Ten reasons your data project is going to fail

Data science continues to generate excitement and yet real-world results can often disappoint business stakeholders. What is going on? How can we mitigate risk and ensure results match expectations? Working as a technical data scientist at the interface between cutting-edge R&D and commercial operations has given Martin an insight into the traps that lie in our path. He presents a personal view on the most common failure modes of data science projects.


You can access this chart on google docs using this link.
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