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Midwest Loan Services Data Connector

The Midwest Loan Services Data Connector allows your organization to integrate and leverage valueable mortgage servicing data from Midwest Loan Services mortgage servicing platform. This connector allows Banks / Credit unions to automate monthly, quarterly and annual reporting processes that may currently be manual. In addition, this connector allows enables Banks / Credit Unions to more effectively manage the mortgage portfolio as well as find opportunities to cross sell other retail products and services to those who currently have a mortgage. Finally this data connector supports vintage, concentration and portfolio analysis that is available in other CFS Insight products and services.

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Common Use Cases

Common use cases include:

  • Automation of monthly, quarterly and annual reporting, metrics and dashboards.
  • Mortgage portfolio conentration and risk analysis.
    Vintage analysis of portfolio evolution and change
    Cross sell of retail products into members with mortgages.
  • Proactive retention of members / mortgages that may consider re-financing with another financial institution.

Common Questions

The answer depends on which extract files the Bank/Credit Union may already be receiving vs. any expanded data requirements that may require the licensing and delivery of additional or enhanced extract files from Midewest Loan Services.

Yes, if a Mortgage LOS data connector from CFS licensed, this connector supports integration/linkage of servicing data to the application and decision content from which the mortgage originated.

Technical Details

The notable implementation details include the following:

  • Product runs on the SQL Server 2014 or higher platform.
  • Data is ingested into the CFSConnectors database via a variety of extract formats offered by Midwest Loan Services.  CFS Insight’s data connector has been refined to address varying flavors of extracts offered by Midwest Loan Services.
  • Data is integrated to CFS Insight’s Loan Servicing Data mart.

 

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