OKLAHOMA CITY–(BUSINESS WIRE)– Paycom Software, Inc. (NYSE:PAYC), a leading provider of comprehensive, cloud-based human capital management software, launched a sophisticated machine learning (ML) technology with its Employment Predictor technology, giving an employer greater insight into employees at risk of leaving its organization, based on a proprietary algorithm.
“Machine learning solutions like our Employment Predictor are critical for businesses to gain insight into crucial workforce data by identifying which employees are at risk of leaving an organization and helping them discover the ‘why’ behind their potential departure – an important factor for businesses in a competitive job environment, especially considering unemployment rates are near all-time lows,” said Paycom’s founder and CEO, Chad Richison.
This employment analytics technology – available to all Paycom clients – includes departure-prediction trends based on risk factors and scoring of data already within the Paycom system. Employers can use this data to pinpoint potential high-performing employees who may be at risk of leaving, then make educated decisions regarding their most important asset: their human capital.
