Mortgage banks have with them a large database of information secured via loan origination platforms, application forms, POS platforms and other website features like contact forms, search patterns. Mortgage Banks by employing the right technology can leverage these existing data sets to gain meaningful insights about borrower behavior, buying patterns, trends, loan product performance and markets.
By using data visualization tools, mortgage banks can derive emerging trends and patterns by employing user data and transaction records. These patterns recognition helps Mortgage banks in fraud detection, tracking user growth, evaluating profitability and risk metrics.
Data Analytics can be used on data models built on past historical data to predict loans that are likely to become default and help initiate proactive action. Data models also help in identifying borrower’s buying behavior to offer suitable loan products and services matching their profile.