SYSTEM AND METHOD FOR AUTOMATED MODEL SELECTION FOR KEY PERFORMANCE INDICATOR FORECASTING

摘要

A method for KPI forecasting, comprising: (i) receiving an identification of one or more KPI to be forecast and a forecast horizon; (ii) extracting data received from a database for KPI forecasting; (iii) aggregating the extracted data; (iv) optionally removing one or more outliers from the aggregated data by identifying one or more possible outliers, presenting the outliers to a user, receiving information from the user comprising an identification of outliers, and removing the outliers; (v) fitting training data to a plurality of forecasting models; (vi) identifying a best fit forecasting model using test data; (vii) forecasting, using the best fit model, to generate KPI forecast data; (viii) evaluating the KPI forecast data for accuracy; and (ix) presenting the generated KPI forecast data to the user via a user interface.