This is the third year in a row that Polygon has participated in the Qlik Federal Summit. This year, we focused on how we use Qlik to understand the government lending mortgage market through its data – past, present, and future. If you missed our presentation and demo, you can watch the recording here: Qlik Data and Analytics Partner Summit for Public Sector.
The focus of the presentation was HMDA data and Ginnie Mae Data. Ginnie Mae data is data about mortgage loans for which government agencies provide direct credit support: loans to first-time home buyers (FHA), military service (VA), and homes in rural areas (USDA).
We provided 3 examples of data science:
- Descriptive Data Science: Qlik’s Associative Engine: the right platform for microdata (the bigger the better!)
- Inferential Data Science: K-Means Clustering and Qlik Set Analysis combine to unlock the stories within the data
- Predictive Data Science: Time Series Forecasting to understand where mortgage production is headed.
Polygon Research is a Software-as-a-Service research firm delivering actionable market intelligence to stakeholders in the US mortgage industry. We specialize in the art and science of uncovering insights and extracting knowledge from data. Because we are cloud-based, we have the advantage of rapid and agile modeling of large and complex data sets. We employ a cutting-edge cloud analytics platform and instant machine learning to deliver descriptive, inferential, and predictive analytics at scale. For more information, visit our website.