A Fortune 500 computer technology firm was struggling with their time consuming process of running financial forecasts of unit shipments. The forecasting process consisted of delivering extremely large statistical models to a large group of resources to manually adjust and tweak, and the model was then custom tailored to one specific data set. On average, the process required two team members more than one day to run the statistical models and a total of seven weeks to complete the entire process. Additionally, the customer was incapable of executing true forecasting across multiple lines of business since the processing engine was not extensible beyond one data set. We were engaged to implement a replacement for our client’s ineffective and outdated processes.