Data Driven HR Decisions

Take It Online delves into data analysis fundamentals with expert Akhila Nagula. The episode explores four essential types of analytics: descriptive (what happened), diagnostic (why it happened), predictive (future forecasting), plus prescriptive (action planning). Nagula provides practical guidance on evaluating data quality through accuracy, completeness, plus consistency. The discussion includes real-world applications for HR professionals, addressing challenges with fragmented data sources, personal information handling, plus strategic uses of AI in workplace analytics.

The conversation extends to specific HR applications, examining where AI-driven analysis proves beneficial (compensation benchmarking, career frameworks) versus areas requiring human judgment (performance reviews, promotion decisions). Nagula emphasizes the importance of proper data preparation, systematic analysis approaches, plus responsible handling of sensitive information. The episode provides actionable insights for HR professionals looking to leverage data analysis while maintaining data integrity.

Music by: Harvey Waldman

Tip: You can listen to the podcast at 1.25X to better grasp the content faster.