FICS Data Connector

The FICS Data Connector allows your organization to integrate and leverage valueable mortgage origination and servicing data from one or more of the following FICS modules: Loan Producer, Mortgage Servicer and Commercial Servicer. This connector allows you 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.

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 evoluation 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

How do I time the capture of mortgage balances based upon when the books are closed in FICS at each month end?

The staging process which captures the data can be trigger/automated based upon the point in the mortgage close work-flow when books are closed and reporting is generated.

If my production FICS deployment is on Sybase (Adaptive Server) or does my FICS database need to be on SQL Server?

The connector supports both the FICS Adaptive Server based deployments as well as the Microsoft SQL Server based deployments?

Does this replace all the embedded Crystal Reporting that I have with Mortgage Servicer or Commercial Servicer?

No. This solution focuses on those use case the require integration of Mortgage data with other core system data, or loans from other origination / servicing systems.

Can I link the FICS servicing data with Mortgage LOS data from separate providers such as Encompass, MortgageBot, Mortgage Cadence?

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 Linked Server connection to either to the FICS Adpative Server or Microsoft SQL Server database hosting the production FICS deployment
Product has two versions: Mortgage Servicing (ingests data from FICS’s Mortgage Servicer and optionally from Loan Producer) and Commercial Servicing (which ingest origination and servicing data from FICS’s Commercial Servicer).
Month end snaphsots can be coordinated with monthly mortgage close process within FICS to capture balances/state based upon each month end close. This is critical for automated reporting.

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Analytic Model

CFS Loan Risk Model

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The CFS Insight way to unlocking your credit union data

Data connectors and CFS analytical models are just tools. To succeed, your data initiative needs the right process to handle the preparation, detailed integration, and well planned training and support. The CFS process will help guide your project to successful implementation and adoption.

CFS Insight Process

Step 1

Discovery Call & Demo

Start with a quick discovery call followed by a customized demo. CFS will seek to answer specific questions and show how the CFS process will apply to your data needs.

Step 2

Review Agreement

Work with the CFS Insight team to define goals and project requirements. Develop a scope of work and review with any other key stakeholders and make adjustments.

Step 3

Onboard & Prerequisites

As your team works on required prerequisites defined in the agreement, CFS will onboard to your technology environment and begin preparing for implementation.

Step 4

Implement, Train, Support

CFS will Implement the data connectors and analytic models, provide your team with training, help push your new solution to production, and provide you with dedicated ongoing support and consultation

- How CFS Insight can guide you

Ready to make better data driven decisions?

CFS Inight’s process will guide you and your team into a better understanding of your data. Once your systems are connected, CFS will help you create productive ways to access, analyize, and model your data. So the question is — how can we help?

Education

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Case Studies

Why Don’t Member Attrition Models Work?

Every credit union has heard some variation of the following pitch from a vendor. “We have a near-perfect member attrition model that is 94.3% accurate.

Share Loss Risk Analysis for Credit Unions

After several years of most credit unions having more shares than loans, the pendulum is starting to swing the other way. How much of a

Counting Credit Union Members: Why is counting members so hard?

It is hard to imagine another industry where trying to count their customers creates as many challenges as it does for credit unions. You are

Your Credit Union Community.

- About CFS Insight

Why CFS Cares About Credit Unions

Credit unions want to serve their communities well. Their community may be a region, organization, or identity. But, not matter what their community looks like, credit unions want to see the their people thrive.

That’s why for more than a decade CFS Inisght has helped credit unions like your’s not only survive, but thrive!

FICS Data Connector

Common Use Cases

Common Questions

Technical Details

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