What is Mortgage Analytics?

Mortgage business intelligence

Mortgage Analytics are financial and loan performance metrics that measure the health of mortgage lenders and mortgage banks. These are made up of KPIs (key performance indicators), financial measures, lagging indicators, leading indicators, predictive mortgage analytics, and trend analysis.

All aspects of the business should be measured to get a complete view of your businesses' performance. These are typically displayed in an on-line business intelligence dashboard. This dashboard should contain interactive mortgage analytics, graphs, trend-line, and tabular reports. Every metric should support drill-downs into the detail of each loan and transaction.

Mortgage lending kpis

Mortgage Lending Analytics should have both breadth and depth. Be sure to cover loan production metrics (KPIs), employee productivity (scorecards and ranking), profitability, break-even, cash flow, and forward looking predictive analytics. For depth, look for systems that provide branch, region, and staff level views in addition to corporate-wide views. You should be able to drill-down from a dashboard down to the most granular detail so you can identify outliers and re-mediate them accordingly.

For all the breadth available in modern business intelligence systems, be sure to carefully focus on a few select key metrics. It is easy to get overwhelmed by all of the metrics available so focus on five or six and drill-down from there. Examples include unit/volume trends, future-funding, net income trends, and loans per FTP. Check out this article that describes how Simple BI Strategies Can be Effective.

Ultimately, a mortgage analytics solution should provide a comprehensive view of your mortgage business. To be effective, however, you need an integrated business intelligence platform that includes interactive analytics with automated data extraction. This integration must include both operational data (from your Loan Origination System such as Encompass or Lending QB) and financial data (AMB, Loan Vision, etc.). Dashboard, graphics, other visualizations, and AI narratives are critical for a successful mortgage business intelligence strategy otherwise, users may draw the wrong conclusions when they have to interpret information from a 'wall-of-numbers' report.

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