Over the course of this book we have developed a strategy for data science projects which includes the beginning stages of uncovering what the customer really wants, through to understanding the roles that your team plays in delivering to meet that need. It is now time to take a step back and see the whole picture.
What’s the difference between a data science project that succeeds and one that fails? A successful data science project begins with a clear understanding of the customer’s needs and ends with results that can be understood in a usable platform, and along the way, ...
