Data Modeling and Data Analytics: What’s the Difference?

Often used interchangeably, data modeling and data analytics evaluate separate components of data. Data modeling requires setting parameters on data to better understand it.On the other hand, data analysis considers the data itself, allowing you to make informed business decisions. Here are some distinguishing qualities between modeling and analytics.

Call Center Churn: Root Causes of Agent Attrition

Here are several common reasons that agents leave after the onboarding process, and how AnswerOn’s solution can help call centers know which agents are at-risk and, most importantly, the proactive action that can prevent them from leaving.

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.