HCM GROUP
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Behind the crystal ball: Realizing value from predictive retention projects - Deloitte
Deloitte’s article, "Behind the Crystal Ball: Realizing Value from Predictive Retention Projects," explores the challenges organizations face when developing retention models and how to maximize their effectiveness.
Employee turnover remains a critical issue for businesses, making predictive retention analytics a valuable tool. However, organizations often struggle with fragmented data, lack of actionable insights, and difficulties in aligning predictive models with real business outcomes. The article outlines key obstacles, including data quality issues, algorithm biases, and the challenge of translating predictions into meaningful interventions.
Deloitte provides strategies to overcome these hurdles, emphasizing the importance of clean, relevant data, continuous model refinement, and integrating analytics into broader workforce strategies. By leveraging predictive retention effectively, companies can proactively address turnover risks and enhance employee engagement.
For HR and business leaders looking to harness predictive analytics for talent retention, this article offers essential insights.
Read the full article to learn more.
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