Predictive modeling and advanced analytics can be used in customer analytics, people analytics, operational and risk analytics, digital and social analytics. The steps of predictive modeling include assembling data, building models, visualizing the results and integrating a workflow. These tasks can all be applied through value engineering, model validation, proof-of-concept and staff augmentation.

Thus, this tool can be used as a guide for understanding and reviewing the essential elements of an organization’s predictive analytics process.