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Enjoy a practical and powerful data platform built for the needs of contemporary financial institutions.
Level up your accounting game with efficient and common-sense capabilities.
Access the same technology that Fortune 50 companies use to drive their data program
Learn how we help your financial institution realize measurable outcomes, from predictive analytics to robust financial tools.
Explore our data analytics library, where you can browse all kinds of resources, from whitepapers to best practices. Always open, no late
Here at Gemineye, we use breakthrough architecture to create the most flexible data analytics solution available.
Why Data Analytics Matters Data analytics is essential for staying competitive in today’s competitive landscape. A recent study by Jack Henry found that 42% of credit unions prioritize leveraging data ...
Welcome to our very first edition of “A Day in the Life of a Data Analyst,” featuring the equally talented and down-to-earth Ann Ditlow, Data Analyst at 4Front CU. Ann ...
Bill has a deep background in the credit union industry. Throughout his robust career in the industry, Bill has utilized technology and data with finance/accounting to help credit unions and banks ...
Sandwich, Mass (October 28th, 2025) – Credit union and community bank data analytics provider Gemineye is excited to announce its partnership with Gesa Credit Union, a $6.4B financial institution and one of Washington state’s largest credit unions. With 45 branches across the Pacific Northwest, Gemineye’s newest client prioritizes the members and communities they serve while expanding their footprint, winning Newsweek’s Best Regional Banks & Credit Unions Award two years in a row. Gesa Credit Union is committed to making a positive impact in the communities we serve and helping our members build strong foundations for their financial journeys and lives they envision. That’s why we partner with organizations that share our values and help us deliver smarter, member-focused solutions,” says Tony Beal, Vice President of Business Intelligence at Gesa Credit Union (pictured). Gemineye’s world-class, Fortune 50 Databricks and Microsoft architecture and flexible platform made Gemineye’s solution the clear choice for an organization focused on growth, quality, and doing what‘s right for their members and communities. “The partnership reflects Gesa’s belief that the right knowledge—backed by the right tools—creates opportunity. Gemineye’s intuitive platform and client-first approach empower our teams to make data-informed decisions that ultimately benefit our members,” explains Beal. “Better technology means more ways to support the communities we call home.” “As an institution that’s growing rapidly, they’ve prioritized data management as a must-have for their continued success,” says Maggie Chopp, Director of Business Development at Gemineye. “We’re excited to provide the foundation on which their data program will develop and immediately drive value and tangible impact for their business teams. We look forward to a successful partnership with the data and leadership team at Gesa!” About Gesa Credit Union Gesa Credit Union is one of Washington’s largest credit unions, with $6.4 billion in assets, and is more than 305,000 members strong. Gesa is a full-service financial institution that offers a complete array of consumer, mortgage, and business products and services. Headquartered in Richland, Washington, Gesa operates 45 branches, loan centers, full-service student-operated campus branches at Washington State University, and 18 student-operated high school branches across Washington state. The Gesa Community Foundation, established in 2022, further supports Gesa’s ongoing commitment to local communities and charitable giving, which includes support for schools, Local Heroes groups, and community organizations through its Affinity Debit Card Program, as well as through its annual youth scholarships, and free financial and educational resources available to members and the general public. For more information, visit gesa.com. See Gemineye’s Data Lakehouse in Action Interested in learning how the Gemineye Data Lakehouse can support your member and community needs like Gesa CU? Schedule a personalized discovery call to see how our platform can transform how your institution’s data program.
Sandwich, Mass (September 19th, 2025) – Credit union and community bank data analytics provider Gemineye is thrilled to share that $880M, Chicagoland-area NuMark CU is their newest data lakehouse client. Gemineye’s world-class, Fortune 50 Databricks and Microsoft architecture, flexible integration structure, and client-ownership model made it the obvious choice for the growing credit union who recently acquired a bank. “We’re excited to share that we’ve selected Gemineye as our data partner as we begin building out our data strategy. From the very first conversations, they stood out for their flexibility and technical depth. They were able to meet us where we are, offering solutions that fit into our existing systems without requiring major changes or compromises,” says Kevin Quinn, CIO at NuMark CU (pictured). “One of the biggest reasons we chose Gemineye was their architecture. They provided a Databricks resource within our Azure environment, giving us full control to build and expand our ETLs using a wide range of data integration tools. That kind of freedom was important to us, especially as we look to scale and evolve over time,” says Quinn. Indeed, Gemineye’s use of world-class technology rails is a compelling benefit for financial institutions who are growing but still conscious of cost and efficiency. “They’re doing innovative work with Databricks and Power BI, things we hadn’t seen from anyone else,” Quinn elaborates. Gemineye is a proud Databricks Consulting Partner, a prestigious recognition not given out freely. “They also offered support in areas like data governance and analytics, which is incredibly valuable as we’re just starting out and still shaping our direction.” Maggie Chopp, Director of Business Development at Gemineye comments, “The Gemineye team is excited to welcome NuMark to our client group and thankful for collaboration and trust they’ve extended. They recognize the importance of investing in a solution that both grows with them, and that they own – not a vendor. We look forward to their ongoing success!” “What really made the difference was their collaborative approach, says Quinn. “They offered data engineering hours to help us build and grow within Databricks, making it feel like a true partnership rather than just a vendor relationship. Their platform also gives us the flexibility to layer in advanced models, AI, and other tools to get even more value from our data down the line. Gemineye’s approach is helping us see our data in a more complete way and positioning us for long-term success.” About NuMark Credit Union NuMark CU has been serving the southwest Chicagoland suburbs for over 70 years. Their mission is to enrich the financial lives of their 50,000 members across 13 Chicagoland branches. NuMark CU offers a full menu of financial services from mortgage and auto loans to free checking accounts and business services. They remain dedicated to putting their members first, treating them like family, and helping them do more with their money. NuMark helps members get to their fantastic future faster. See Gemineye’s Data Lakehouse in Action Interested in learning how the Gemineye Data Lakehouse can support your strategy and growth needs like NuMark CU? Schedule a personalized discovery call to see how our platform can transform how your institution stores, manages, and uses data.
Creating a consistent scorecard across departments can be a real challenge for credit unions and community banks. It’s rare to see even two departments from the same financial institution utilizing the same documents to measure their goals for the year. Often, the question is asked “What exactly are we trying to accomplish as an organization?” When there are misunderstandings and misinterpretations of the highest strategic goal in the organization, it’s bound to create conflicting priorities. The Problem with Vague Scorecard Metrics Your credit union’s annual strategic goal is to create positive net organic membership growth, ages 18-44. Seems straightforward enough, right? Let’s explore where there could be a misinterpretation of measuring this goal across departments. Organic: How do we define organic? Do we exclude indirect lending? Membership: How do we define membership? Do we exclude trust accounts, conservatorships, business accounts, and specialty accounts, political campaign accounts and inherited/beneficiary IRAs? Age: When do we determine age? What if a member turns 45 before the end of the year? Are they removed from this measurement even though they joined when they were 44? Growth: What is our data from the year prior? Is every department working off the same data points from the prior year? Alignment: Does each department have a consistent understanding of membership allocation across cost centers? We can see how a seemingly straightforward goal is now ripe with opportunities for misalignment. Department leaders could interpret the measurement of this goal very differently, creating employee outcomes that are pulling in different directions. Overcoming Unified Scorecard Miscommunications with Visibility A challenge we often observe among credit unions and community banks is the difficulty in actual aggregation and modeling of the data needed to produce a reliable metric. This is where having the necessary tooling like a robust data platform becomes key. One of our credit union clients features their four organizational strategic goal trends by month on every employee’s report landing page. Every employee in your organization, whether you have 10 or 1,000, should be able to explain what your unified goal is and be able to access a place where they can see the progress of the goal. The key here is visibility and repetition – and to remember that your employees have vastly different knowledge sets and perspectives based on their roles and tenure. Robust Data Modeling Mitigates Unified Scorecard Challenges From a data analytics tooling perspective, finding a data analytics solution that can provide a robust data modeling approach is critical to creating a unified scorecard. It’s important to have the ability to drill down by granular dimensions that are customizable to your own organization’s logic, such as: Date range Product category Cost center Employee Persona Engagement type If your organization doesn’t have access to these simple categorizations, you could be missing a key part of the scorecard picture. To learn more about creating operational alignment through data analytics, download our complimentary whitepaper. Gemineye’s modern data platform is designed to help credit unions and community banks manage, unify, and activate their data across teams and tools. From data hygiene to real-time analytics, Gemineye gives you the foundation to improve both operations, such as unified scorecards, and member experience. Discover More About the Capabilities of the Gemineye Data Lakehouse
