Mortgage Industry​

Building a profitable loan portfolio backed by data

  • Our Client​​
  • Challenges
  • Business-Requirements​
  • Solutions
  • Business & technology impacts​

Our Client​

It is a fast-growing investment management firm in the business of procuring a large pool of loans worth billions of dollars and profitably servicing it. There are numerous options in the market, and these are high-risk decisions with significant bottom-line impact if not supported by deep business insights.


There were significant cost and efficiency challenges with dependency on monopolized server providers which offered little to no flexibility on either of the two most important aspects for any business to succeed. The proprietary nature of the industry setup did not support Data from different sources, and it could not be integrated or synchronized. 

The Proprietary BI tool was available at a very high licensing cost ($10k per seat per month) which did not provide any ability to customize the data stack. The system slowed down when data ran into millions of records. Top-of-the-line tools like Tubule, could not handle the size of the data and drilldowns needed for efficient processing and leveraging. Leadership report driving critical business decisions needed hours of preparation.

Business Requirements

The business needed to better ROI from the investments and for that needed a scalable platform on which multiple business dashboards can be generated simultaneously. It needed self-service dashboards for nontechnical team members who could work efficient by accommodating their ever-changing and growing data needs without spending too much time and resources to accommodate new data sources.


Mortgage Servicing

Noema Analytics

Noema team leveraged its deep domain knowledge and technical expertise in building a custom platform that could run on simple hardware (no server farm or complex hardware requirements that are difficult to manage). The solution was built using proprietary technologies thereby keeping costs create and ownership both low. The solution was designed to handle exceptions and extensions seamlessly which occurs during the lifecycle. The agile development approach was used for faster development and deployment. It allowed improvising and fine-tuning the quality of the solution within aggressive timelines. It also ensured seamless transition during the handshake phase. Above all met the customer requirements, expectations, and deadlines with budgeted costs.

Business & Technology Impacts

70% cost reduction with new solution as compared to existing IT tools (licensing fee)

Self-service portals to reduce technical dependency

Multiple people working simultaneously to help deliver critical leadership reports in few hours thereby enabling faster decision making