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HR Metrics That Matter: Why Your Turnover Rate Isn’t the Whole Story

David Menninger's Analyst Perspectives

Even metrics like time to productivity provide only a snapshot without delving deeper into the real story. The expectations surrounding people analytics are shifting. Metrics like applicant conversion and offer acceptance rates reflect process efficiency and miss the crucial element of employee fit and potential.

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How IBM HR and the Chief Data Office partnered to drive data quality, increased productivity and a move to higher value work

IBM Big Data Hub

People analytics is at the center of Human Resources (HR) strategy. Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent.

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How IBM HR leverages IBM Watson® Knowledge Catalog to improve data quality and deliver superior talent insights

IBM Big Data Hub

People analytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management.