MeridianLink DecisionLender Data Connector

The primary data source for the MeridianLink Data DecisionLender Data Connector utilizes the DecisionLender Standard Data Dump XML extract available from MeridianLink. The connector ingests all data that can be mined from the above extract. This includes but is not limited to direct/indirect applications content, credit reports tied to the applicationa, underwriting metrics and custom fields implemented by the credit union. The connector also supports tracking the changes to applications based upon any of the following events.

• App submission
• Add applicant
• Assign app to sublender
• Doc Received
• Core System Export
• Data Dump automated job
• Reevaluating Loan Version
• Save app decision status
• Save contract prep
• Save funding contract
• Save funding status
• Set active loan version
• For portal apps, after sending anything back to portal

Common Use Cases

The MeridianLink DecisionLender Data connector enables your credit union to:

  • Deliver and manage enterprise class metrics and scorecards on your lending and retail operations
  • Integrate valuable data from your indirect lending operation
  • Identify second sale / opportunities within your member base
  • Streamline compliance and efficiency with your consumer lending operation

Common Questions

Daily, typically after the core system updates to the data warehouse are complete.

Yes, CFS Data Connectors build a member record based upon the core data and relate that to all the loan / account applications that apply. The data can also be joined on account number, branch, funded loan ID and a variety of other related attributes in the core system.

Technical Details

The implementation of the MeridianLink DecisionLender Data Connector is based upon the following technical details:

  • The MeridianLink Data Connector sources XML data produced by the a daily “Data Dump” offering from the DecisionLender platform. Each financial institution must contact MeridianLink to have them provision the delivery of this XML file to their environment.
  • Where availble, example reports come in SSRS, Power BI and Spotfire dashboards.
  • CFS updates the connector process to include new fields / attributes added by MeridianLink.
  • The connector can be deployed on-premise or in the cloud on a SQL Server 2014 platform or higher.

Other Consumer Lending Products

Data Connector
Sync1 systems data connector | cfs insight

Sync1 Systems Data Connector

Explore >
Data Connector
Lendkey data connector | cfs insight

LendKey Data Connector

Explore >
Analytic Model
A cfs insight logo used for products.

CFS Loan Projection Model

Explore >
Data Connector
Origence's logo.

Origence Data Connector

Explore >
Data Connector
Logo for upgrade.

Upgrade Loans Data Connector

Explore >
Data Connector
A pscu logo.

PSCU Data Connector

Explore >
Data Connector
A logo for co-op solutions.

Co-Op Data Connector

Explore >
Data Connector
Logo for fis data connector.

FIS Data Connector

Explore >
Data Connector
Logo for temenos.

Temenos Collections Data Connector

Explore >
Data Connector
Powerplay's logo.

PowerPay Data Connector

Explore >
Data Connector
The cfs meridian link consumer data connector | cfs data products | cfs insight

MeridianLink Consumer Data Connector

Explore >
Analytic Model
A cfs insight logo used for products.

CFS Loan Risk Model

Explore >

- CFS Data & Analytic Products

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

Predictive analytics in banking for credit unions - CFS Insight

- 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?
An icon for education.

Education

You want to learn more about how you can get more out of your data?

An icon meant to represent taking action by working with CFS Insight.

Take Action

You know what you want and you’re ready to chat? 

Case Studies

CFS helps you serve

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!