5 reasons analytics projects fail

Some years ago, at Gramener, we built a customer churn modeling solution for one of the largest global telecom operators. The machine learning solution predicted which of their customers would leave, one month before they stopped usage. In test pilots, the solution helped reduce customer churn by more than 56 percent compared to the earlier process. We were amazed at the impressive results and stellar accuracy. But the celebrations were a bit premature, for the solution was never used.