Today’s total talent management strategies rely on analytics to execute workforce objectives. For extended workers who comprise nearly half of enterprises’ entire labor force (49%, according to our research), analytics are even more crucial to developing metrics and optimizing performance. Recent Ardent Partners and Future of Work Exchange research indicates that 81% of organizations cite the improvement of contingent workforce management (CWM) analytics as a priority, highlighting the importance of deeper, more insightful data and analysis.
CWM Analytics for Insights
According to Beeline, a leading contingent workforce solution provider, “For many organizations lacking formal analytics and reporting on their contingent workforce, identifying key metrics can even be challenging.” The focus on analytics goes well beyond hiring, scheduling, and payment data, to include deeper areas of concentration. The following are several analytic subsets imperative to contingent workforce management and performance.
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