Using Base SAS, SAS/STAT and SAS/GRAPH, a decision support infrastructure is built to monitor and forecast workforce retention dynamics relative to the economic value of Unicru Personality Assessments. Using PROC LIFEREG the authors developed best fit survival models for employee lengths of stay and with these best fit model's hazard rates and apply a semi-Markov population dynamic model to forecast the rate of replacement of employees with new hires with targeted personality traits. SAS/GRAPH is utilized to present historical data, fitted survival models and forecasted replacement levels.
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