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Identify CU Readiness for Data Success

What exactly is credit union data success?

It is when the credit union is leveraging its robust enterprise data to improve its member's lives. To accomplish this, the following is needed;

1. A clear data strategy

One that is aligned to the organization strategy

Incorporates a pathway to data maturity (with special emphasis on data governance)

Includes talent development to consume data

Provides clarity on workplace adoption of data

2. The ability to translate data strategy into tangible use cases

Focusing on solving the member problem or reducing member friction are ideal because the entire credit union can understand them.

3. A clear, high-level road map.

If you have #1 and 2 above, you should have this. Remember best practice for a data road map is to have it fit on one page and clearly communicate the pathway data will be leveraged to improve member's lives

4. Have a formal data governance program

Many credit unions get overwhelmed with the creation of formal data governance program. Advice: don't boil the ocean; make a nice cup of tea. Start small

5. Talent that can translate data into valuable action.

This is the area where most credit unions fail. Creating a data-centric organization does not occur organically. A defined plan to infuse data into the credit union is a combination of critical and design thinking embedded in a pro-active environment.

To find out how ready you are for data success in seconds, complete the data success assessment. Scroll to the bottom of the page, and within the click of a few buttons, you will find out how prepared your organization is to succeed with data.


Curious about the current state of data at your

credit union?

Take this quick

Found at the bottom of the page.


Where can I fill my data knowledge gaps?

With a stop at the

Data Education Center.

We believe that data transformation doesn't have to feel overwhelming or expensive to be impactful. After helping over 600 credit union leaders launch their data journeys, we have identified several consistent knowledge gaps. We have worked hard to fill these gaps with a variety of educational artifacts:


What if I want something more? Does someone offer data education classes with real-world applications?

Yep, that is what we do, of course, and so much more. To learn more, please review our data transformation institute

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