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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. Read More

Employee attrition rates tend to soar in January. Why are workers more likely to leave at the beginning of the year? We identify some of the common reasons that cause employees to resign and look at some measures to help reduce rates of attrition. Read More

It’s no secret that high rates of employee turnover result in financial losses for a company. Where does the money go? Every step of the employment process has hidden expenses, even steps like listing a job or hiring someone. However, in call centers, one cost stands out from the rest: training and onboarding new employees. Read More

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. Read More

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. Read More