ADP DataCloud Adds New AI Features to Target Pay Equity Gaps, Bolster Employee Retention
Machine learning analyzes data from over 30 million employees to offer actionable solutions
As businesses look for new ways to thrive in a changing world of work, ADP is building upon its award-winning people analytics solution, ADP DataCloud, to help them innovate for the future. Announced, the solution’s new features address some of the biggest challenges that businesses face today, including shifting economic policy, employee retention and the pay equity gap.
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ADP DataCloud is designed to help organizations make more informed, actionable decisions by giving them visibility into their people data in one platform and eliminating the need for manual analysis. Previous enhancements such as Storyboards have guided clients to uncover insights and compare metrics from their workforce data to identify specific issues, including costly turnover and compensation gaps that impact talent acquisition and retention.
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The newest features illustrate the ways ADP DataCloud has evolved to take on some of the most complex issues facing business leaders globally. Companies can now benchmark their organizational data against “live” data in the broader market by using the anonymized and aggregated data from more than 740,000 companies, equipping them to compare information like headcount by department and compensation by role. This database of information and insight not only provides users with data, it also unlocks a deeper understanding of their workforce by revealing patterns and trends and recommending solutions.
“The world of work has experienced seismic changes this year, fueled by the COVID-19 pandemic and the demand for a more diverse and inclusive workforce,” said Jack Berkowitz, ADP’s senior vice president of product development. “The new enhancements to ADP’s DataCloud give businesses the people-data they need, when they need it most, enabling them to drive their business forward. For some companies, these insights help uncover metrics they never knew they had; for others, it combines machine learning and predictive analytics to provide actionable solutions to better assist employees.”
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