Whenever I go to some social interaction (back when I could go to a social interaction), people I know or just met inevitably ask what I do and what AnswerOn does.
In business, we often talk about addressing customer “pain-points” to maximize profits. But how can you know what pain points are specific to your customer base? Surveys can help you get a feel for the general trends, but even they can miss out on crucial information. Likewise, they don’t allow you to probe further into what your customers like and don’t like. AnswerOn has generated a way to do just that.
Hearing directly from agents related to their working conditions, scheduling, and company policies provides invaluable insights, that data collection alone will not. This blog highlights some of AnswerOn’s generational-focused research findings, which centered around comparing two age groups: 18-28 year-olds and agents 29 or older.
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.