Our clients include:
$16.7B Assets
Tampa, FL
$645M Assets
Danville, PA
$2.2B Assets
Lewiston, ID
$1.1B Assets
Purchase, NY
$1.3B Assets
Oceanside, CA
$1.1B Assets
Traverse City, MI
Our scalable design means there are no limits on what data can be brought in, both now…and as you grow.
Our flexible infrastructure plays well with virtually every integration, even the ones that are notoriously tricky.
Our implementations take months, not years to be fully operable, so you can benefit from your data journey early.
Whether you are a $200M credit union or a $25B bank, every organization should have access to a data solution that works the way they need it to. Our personalized approach to each engagement ensures that your specific needs and goals are captured for maximum results and ROI. We leverage modern, break-through tools to provide credit unions and banks with customization without the hefty price tag or lengthy timeline.
When we went through our vendor selection process, and spoke with other credit union leaders, Gemineye was a clear winner for us. Their speed of implementation, pre-built solutions for our critical software platforms, native cloud and Databricks architecture, out-of-the-box data visualization solution, extremely high praise from existing clients, and very competitive pricing model made them a winner for CU1.
The Gemineye Lakehouse is a single, cloud-native platform that leverages the best elements of a data warehouse and a data lake, saving you time and money in big ways.
Break free of the tiny, dark can with a data analytics partner who adapts to your financial institution’s specific needs, not the other way around.
Laying a solid foundation is key to a succesful, long-term data analytics program. Instead of rushing through critical details and complex issues, we believe that the best data analytics program starts with a:
– personalized, concrete strategy
– clearly defined roadmap
– aggressive implementation plan
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 demo 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. Schedule a personalized discovery call to see how our platform can transform how your institution stores, manages, and uses data.
As a financial institution—whether a bank or a credit union—you collect data constantly. From personal member information and transaction histories to engagement touchpoints and product performance stats, your internal systems rely on accurate, up-to-date data to function efficiently. But why should your members care about how you manage that data? Because your ability to deliver excellent service, personalize experiences, and build long-term trust depends on it. Simply collecting data isn’t enough. How you manage, clean, organize, and use that data directly impacts your members’ satisfaction and perception of your institution. Clean Data Drives Better Member Experiences One of the cornerstones of effective data management is data hygiene—keeping your records accurate, current, and relevant. This may sound basic, but it becomes increasingly complex as you grow and interact with thousands of members across multiple platforms. Outdated data creates friction. Sending communications to former members, contacting deceased individuals, or continuing outreach to closed accounts can lead to frustration and damage your reputation. Cleaning your data regularly ensures: You’re only reaching out to active, relevant contacts Sensitive circumstances (like deceased members) are handled respectfully Communications are timely, accurate, and appropriate Avoid Member Frustration with Smarter Targeting Nothing erodes confidence faster than irrelevant or incorrect messaging. Think of the last time you received a service reminder for a vehicle you no longer own. Now imagine your members receiving a loan promotion for a mortgage they’ve already paid off. Messy or outdated data leads to: Missed opportunities for meaningful engagement Wasted marketing spend on irrelevant outreach Member distrust in your institution’s systems and competence By investing in robust data governance practices, you ensure that members receive communications that are timely and valuable—reducing the risk of overselling or appearing out of touch. Use Data to Connect with Your Members Credit unions and community banks are built on relationships and local relevance. With proper data analytics and management, you can better understand what matters most to your members. For example, data may reveal a need for a stronger financial literacy program. Without this insight, well-intentioned messaging can miss the mark—or worse, come off as tone-deaf. Good data management enables your institution to: Identify member priorities and causes your members care about Build authentic connections through honest, real-world messaging Demonstrate your commitment to your members through education and financial literacy Data Management Is Member Experience Management In today’s digital-first world, data management isn’t just an IT or operations concern—it’s a member experience issue. Clean, well-managed data helps you anticipate needs, reduce friction, personalize services, and ultimately build stronger, longer-lasting relationships. Improve Member Experience with Gemineye’s Data Management Platform Data management isn’t just an operational task—it’s a core part of your member experience strategy. When your data is clean, current, and actionable, your institution can deliver more relevant communications, improve service delivery, and deepen trust. 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 serve your members better—every step of the way. Schedule a personalized demo to see how our platform can transform how your institution stores, manages, and uses data—without the hard sell.
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 ...
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