Data Mining Churn Solutions: From Raw Data to Predictable Data

By: Don Kainer, Vice President of Engineering and COO 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 that considers data definition, […]

The AnswerOn Development Environment and Process

By: Don Kainer, Vice President of Engineering and COO How AnswerOn creates predictive models: To provide the most value for our services, AnswerOn must respond quickly and accurately to the evolving requirements of our customers. The behavior of the end user (our customer’s customer), is not static. Changes to business objectives, seasonality and the economic […]