Data Strategy Is Being Rewritten

Insights from Melissa Pomeroy, CCUA's EVP and Chief Operating Officer

The shift from reporting to real-time decision-making is here

Not long ago, using data in a credit union meant building and maintaining an on-premise data warehouse. It was a complex, resource-heavy process—integrating systems, standardizing data, and ultimately producing static reports designed to answer yesterday’s questions.

The introduction of dashboards and business intelligence tools marked a significant step forward. Leaders gained greater visibility into operations and performance, and data became more accessible across the organization. Predictive modeling followed, offering forward-looking insights—but often requiring specialized expertise and ongoing investment that many credit unions found difficult to sustain.

Today, AI is accelerating this evolution in ways that are both exciting and challenging.

Credit unions can now leverage AI within their own data environments to generate reports on demand, surface insights without predefined queries, and support real-time decision-making. Processes that once took weeks or months can now happen in minutes.

But as capabilities expand, so do the questions.

Many credit unions are now navigating a more complex data landscape, asking:

• Do traditional data warehouses still play a central role, or can newer fintech solutions meet evolving needs?
• How can data remain accurate, consistent, and usable across multiple systems?
• As AI tools become more integrated, how is data being accessed, used, and governed?

There is no single “right” path forward—and that’s not a disadvantage. The opportunity lies in being intentional.

A strong starting point is clarity: understanding the business challenges that need to be solved and evaluating current data capabilities. In many cases, credit unions discover they are further along than expected. With a clear strategy, it becomes possible to prioritize next steps and build a practical, forward-looking roadmap.

Just as important is recognizing that this is not a journey that needs to be navigated in isolation. The right guidance can help cut through complexity, align technology decisions with organizational goals, and move initiatives forward efficiently while minimizing risk.

The conversation has shifted. The question is no longer whether data should play a central role in a credit union’s strategy—it already does.

The focus now is on how to use it effectively in a rapidly changing environment.

With a thoughtful approach to strategy, strong data practices, and the right support, credit unions can move forward with confidence—better equipped to serve members today while preparing for what comes next.