Data is often called one of a credit union’s most valuable assets, yet for many institutions, its true value remains untapped. Siloed systems, unclear ownership, cultural hesitancy, and legacy technology have made it difficult for credit unions to move from having data to actually using it.
In the first episode of CU Insight’s special four-part podcast series, “The Data Dividend: Turning Insights Into Action,” host Robbie Young sat down with Mike Kraus, Managing Director of TruStage Ventures, and Jamie Jackson, CEO of Arkatechture, to explore what’s holding credit unions back, and what success really looks like for data-driven organizations.
What follows is a closer look at the key themes from the conversation, and what credit unions can do today to start capturing their data dividend.
Arkatechture was founded with a simple belief: every credit union should have access to the same data advantage as the biggest financial institutions, without needing a Fortune 500 budget or a massive internal data team.
Through its fully managed analytics platform, Arkalytics, Arkatechture integrates data from the core and surrounding systems, cleans and governs it, and turns it into dashboards, insights, and AI-ready data. The goal is straightforward: help credit union teams spend less time wrestling spreadsheets and more time serving members.
That mission closely aligns with TruStage’s roots. TruStage has long focused on helping credit unions compete and thrive. TruStage Ventures extends that mission by investing in fintechs that solve real problems in the credit union space, acting as connective tissue between innovation and institutions.
Credit unions don’t lack data, they’re swimming in it. The challenge is trust and accessibility.
According to Mike and Jamie, most credit unions face three foundational obstacles:
Data lives across dozens of systems, cores, CRMs, loan origination tools, marketing platforms, call centers, and more. Just as problematic, institutional knowledge is siloed within teams. Marketing may know things lending doesn’t. Finance may see trends operations never hears about.
Without a shared source of truth, decisions are often driven by instinct rather than insight.
Dashboards don’t create governance, people do. When no one owns the definition of a metric, organizations end up debating numbers instead of acting on them. Alignment on ownership transforms conversations from “what does this number mean?” to “what are we going to do about it?”
Most credit union employees didn’t choose this career because they love data, they chose it because they love serving members. When data is framed as a technical burden instead of a service tool, adoption stalls.
But when data is positioned as the voice of the member, everything changes.
Many credit unions already have written data strategies, beautifully designed and carefully documented. Yet too often, they never make it into day-to-day operations.
Why?
Because execution requires more than technology. It requires:
A data strategy can’t sit apart from strategic planning, it must be embedded within it. And it can’t be managed by a committee that meets quarterly. Someone has to wake up every week owning progress, outcomes, and accountability.
Just as importantly, success doesn’t come from “boiling the ocean.” Credit unions that start with small, meaningful use cases, and build momentum through real wins are far more likely to succeed than those waiting for perfection.
Eight years ago, fintechs were often viewed with skepticism. Today, perceptions have shifted dramatically.
The vast majority of fintechs are built to partner, not compete, with credit unions. The value exchange is powerful:
Building internally is always an option, but maintaining and evolving that technology over time is often the real challenge. Strategic fintech partnerships can reduce execution risk, accelerate time-to-value, and keep credit unions competitive in a rapidly changing landscape.
Increasingly, fintech-to-fintech collaboration is becoming just as important, creating unified ecosystems that reduce duplication and complexity for credit unions.
Members aren’t comparing their credit union’s digital experience to the institution down the street they’re comparing it to Amazon, Apple, Uber, and every frictionless experience they have elsewhere in their lives.
In the past, “knowing your member” meant personal, in-branch relationships. Today, it means using data to move from reactive service to proactive advocacy.
When data is used effectively, credit unions can:
The end result isn’t just personalization, it’s advocacy. Members feel known, understood, and supported.
Five years from now, the difference between leading credit unions and those left behind won’t be access to technology, it will be culture.
The institutions that win will:
Those left behind won’t fail because tools didn’t exist, they’ll struggle because their culture never shifted.
The data dividend is real, but it isn’t automatic.
Capturing it requires clarity of purpose, ownership of execution, and a culture that sees data as a way to better serve members, not just another system to manage.
The good news? Credit unions don’t have to do it alone. With the right mindset, the right partners, and a focus on action over analysis, data can become one of the most powerful forces for growth, trust, and impact in the credit union movement.