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.
“One-Size fits all” solutions for improving call center moral might make happy agents happier, but could push at-risk agents out the door.
Predictive Analytics is a hot topic, but many consulting firms don’t tell their clients what to do with the data to improve their business. AnswerOn does.
One of the most annoying aspects of being a call center operator are the “No Call, No Shows”. An agent that you’ve spent time and money on decides to leave without any prior notice or communication. Not only is it frustrating but it puts a major burden on staff to pick up the “slack”.