Abstract: A sales optimization system includes a forecasting module to determine forecasts for sales metrics, an optimization module to determine recommended actions for achieving sales goals, and a user interface to generate scorecards indicating actual vales for the sales metrics, forecasts for the sales metrics, and the recommended actions to improve the sales metrics. The forecasting module determines quantifications for forecasting variables, and the forecasts are determined based on the forecasting variables. The optimization module determines factors estimated to have impacted the sales metrics, and the recommended actions based on the factors.

Abstract: A system is described for valuating employees. The system may include a memory and a processor. The memory may store a historical dataset which describes employees of an organization. The historical dataset may include inputs describing employee performance over a time interval. The processor may be operatively connected to the memory and may receive the historical dataset. The processor may identify a value metric which describes the value contributed by each employee to the organization over the time interval. The processor may analyze the historical dataset to identify a subset of the inputs which are indicative of the value metric over the time interval. The processor may generate a predictive model based on the subset of the inputs and the value metric. The predictive model may determine a net present value of each employee indicative of an expected value to be contributed by each employee over a future time interval.