Most credit unions would agree that their mortgage products, when sold to members, are one of their “stickiest” relationship builders. In addition, the information collected on members to make closed end lending decisions is rich and valuable for cross selling other products and deepening relationships with members who choose the credit union for a mortgage. It is ironic, that the data from mortgage lending and servicing systems are often times isolated systems only utilized by the Mortgage department. CFS Insight’s Data Connectors ingest and harmonize the valuable mortgage origination and servicing data from popular mortgage lending and servicing platforms into the credit union’s data warehouse and strategy. This enables credit unions to complete the lending picture for its membership and provides for improved cross selling opportunities, member retention and strengthening of the lending portfolio composition toward the credit unions overall strategic mix of loan types.
Integrate Finastra’s mortgage servicing platform (Servicing Director) into your data strategy, reporting, and analytics initiatives. Deliver enterprise-class metrics that help you build a premier mortgage portfolio.
Deliver enterprise class metrics and scorecards on your mortgage lending operation that help your credit union drive growth in your mortgage portfolio. Capitalize on cross-sell opportunities for consumer products from rich data in the Encompass Developer Connect API from which CFS’s data connector mines data.
Deliver enterprise class metrics and scorecards on your mortgage lending operation that help your credit union drive growth in your mortgage portfolio. Capitalize on cross-sell opportunities for consumer products from rich data in the MeridianLink Mortgage (a.k.a LoansQB) origination database.
Deliver enterprise class metrics and scorecards on your mortgage lending operation that help your credit union drive growth in your mortgage portfolio. Capitalize on cross-sell opportunities for consumer products from rich data in Mortagebot’s DataMart repository.
Integrate Black Knight’s mortgage origination platform (Empower) data into your data strategy, reporting and analytics initiatives. Deliver enterprise class metrics that help you build a premier mortgage lending operation.
Integrate data from FICS’s Mortgage Servicer, Loan Producer and Commercial Servicer modules into your data strategy, reporting and analytics initiatives. Deliver enterprise class metrics that help you build a premier mortgage portfolio.
Integrate Midwest Loan Services’ mortgage servicing platform data into your data strategy, reporting and analytics initiatives. Deliver enterprise class metrics that help you build a premier mortgage portfolio.
Integrate Dovenmuehle’s (aka DMI) mortgage servicing data into your data strategy, reporting and analytics initiatives. Deliver enterprise class metrics that help you build a premier mortgage portfolio.
Deliver enterprise class metrics and scorecards on your mortgage lending operation that help your credit union drive growth in your mortgage portfolio. Capitalize on cross-sell opportunities for consumer products from rich data in OpenClose’s rich set of data extracts processed daily.
Integrate Specialized Loan Servicing’s mortgage servicing platform data into your data strategy, reporting and analytics initiatives. Deliver enterprise class metrics that help you build a premier mortgage portfolio.
Deliver enterprise-class metrics and scorecards on your mortgage lending operation that help your credit union drive growth in your mortgage portfolio. Capitalize on cross-sell opportunities for consumer products from rich data in Finastra’s MortageBot DataMart repository.
The CFS Loan Risk model measures the difference between the expected and actual payment behavior to create a near real time risk assessment of each collateralized loan.
The CFS Loan Projection models utilizes the original loan terms along with the payment transactions to project the originally expected, actual and re-forecasted cash flows for the loan. This insightful data allows for more accurately projecting the expected revenue from the loan portfolio.