CFS Member Fee Model

Credit Unions are under pressure to restructure, standardize and potentially reduce the fees assessed to members. For most Credit Unions, it is difficult to get a quick and accurate understanding of the impact to membership and the credit union financials from making changes to the fee policy.
CFS Insight’s Member Fee model can used to get a deeper understanding of how members interact with fees. It will help the Credit Unions understand and answer questions like:

  • Which members regularaly generate fees?
  • How much revenue is actaull realized in the financials from fee assements?
  • If a member’s share account becomes negative, how long does the balance remain negative?
  • How quickly does an account that goes negative recover and enter positive balance territory?

With these foundational elements, the Credit Union will be able to perform ‘What If’ analysis on the impact of changing certain conditions like restricting how often or under what conditions a member will generate a fee. This will allow the Credit Union to have data driven insight into the impact of fee policy changes before adopting such changes.

Common Use Cases

Following are a few of the more common use cases for CFS Insight’s Member Fee Model:

  • Assess which members share balance frequently becomes negative, stays negative and the duration until the balace becomes possitive.
  • Perform ‘What If’ analysis on possible changes to the fee policy assessing the impact prior to rolling changes.
  • Assess the impact of debit card transactions that approve during the period when the balance is positive but post after the balance become negative.

Common Questions

The model insludesshare transactions on the core system to determine all the scenarious by which a member balance enters negative territory.

Yes, custom metrics can be added in relation to the negative balance episodes provided that data exists to consistent support the metric calculation being added.

Yes it does.

The model is refreshed monthly typically on the 1st calendar day of each month. Activity from the prior period is appended to the existing member scenarios or episodes where the member balance has gone negative.

It does not. The primary focus of this model is to assess the conditions by which a share may enter negative territory and based upon the activity in the deposit account.

Technical Details

The technical details of CFS Insight’s Member Retention Model include the following;

  • Runs on SQL Server 2014 or higher.
  • Requires the installation and licensing of CFS Insight’s Analytics Data Connector.
  • Dashboard interface included in either TIBCO Spotfire or Power BI.

Other Finance/Accounting Products

Customized Integration
A logo for ncino custom integration.

ncino Custom Integration

Explore >
Customized Integration
Acxiom custom integration logo

Acxiom Custom Integration

Explore >
Data Connector
A small cfs insight horizontal logo

Purchased Participation Loan Data Connector

Explore >
Data Connector
A cfs insight logo used for products.

CFS Analytics Data Connector

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

CFS Member Revenue Model

Explore >
Data Connector
A logo for fiserv.

Prologue Data Connector

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!