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.
As a leader in payroll and HR technology, Oklahoma City-based Paycom redefines the human capital management industry by allowing companies to effectively navigate a rapidly changing business environment. Its cloud-based software solution is based on a core system of record maintained in a single database for all human capital management functions, providing the functionality that businesses need to manage the complete employment life cycle, from recruitment to retirement. Paycom has the ability to serve businesses of all sizes and in every industry. As one of the leading human capital management providers, Paycom serves clients in all 50 states from offices across the country.