In this demo, Dr. Alex Guazzelli, VP of Analytics at Zementis, shows a pre-qualification app that uses predictive models and rules to analyze the risk of mortgage default on loan applications. An application is accepted or referred for a variety of loan products depending on its perceived risk. ADAPA is the engine driving this application in the back-end.
Once logged in ADAPA, Dr. Guazzelli uses the ADAPA Web Console to download the mortgage solution files which are used throughout the demo. Predictive models expressed in PMML format are uploaded and verified in ADAPA along with rulesets expressed in tabular format. The ADAPA Web Console is used for managing predictive models, rulesets, and resource files as well as for batch-scoring. Real-time scoring is obtained via web-services or the Java API.
Finally, Dr. Guazzelli shows how the ADAPA Add-in for Excel is used to score data directly from within Excel. This part of the demo features the scoring of loan and tax data as well as the visualization of results via dashboards.