The first step of our process is to aggregate data using first-party data and appended third-party data sources.  Once data is aggregated and appended, a predictive model uses this data to make predictions about future outcomes.

This is done by analyzing the data to understand patterns associated with past outcomes and then applying the patterns to new data.