Data Mining Churn Solutions: From Raw Data to Predictable Data

With today’s technological capabilities, we have access to numerous sources of qualitative and quantitative data. However, an exhaustive amount of raw data fails to reveal patterns that describe churn rates. Moving from raw data to predictable data requires a data mining process.

The Lifetime of Research

Michael Mozer, Scientific Advisor at AnswerOn and Professor at the University of Colorado discusses AnswerOn’s early days of churn prediction.