Results Too Good To Be True?

The first approach explains between 12 to 33% of variability in performance metrics while the second approach explains 90 to 99%.

In this video under four minutes in length, Chris at Kunze Analytics discusses a two-pronged approach to obtain results for clients. The first approach explains between 12 to 33% of variability in performance metrics while the second approach explains 90 to 99%. The first is applied to an applicant pool while the second supports coaching of the current group of employees. The distinguishing technology to create value is machine learning for the first approach and data mining for the second.

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