Business Intelligence: You Know Where You're Going, But Do You Know the Best Way to Get There?

I've lived in the same area for 35 years. I know the roads. I know the shortcuts. I know which red lights seem to last forever and which route leverages the “back roads” to save time on a busy Friday afternoon. And yet, I still use my GPS for almost every trip.

It’s not because I don't know the way. It’s because the GPS knows things I don't. It sees the accident three miles ahead that's backing up traffic. It factors in the school pickup rush I forgot about. It sometimes shows me a route I've never considered, one that shaves time off a drive I've been making the same way for decades. Without it, I'd get where I'm going. I just wouldn't get there as efficiently.

This is exactly the challenge facing credit union executives today when it comes to business intelligence.

You Know Your Members. But Are You Seeing the Full Picture?

Most credit union leaders are experienced, capable and deeply familiar with their markets. They've built strong institutions on relationships, community trust and hard-earned knowledge. The problem isn't expertise, it's access to the kind of timely, consolidated, actionable intelligence that allows an organization to make its best decisions consistently.

The reality for most small and mid-sized credit unions is that data lives in multiple systems: the core, the loan origination platform, the digital banking solution, marketing tools and maybe a CRM. Pulling meaningful reports requires someone in-house with the technical skills to extract all those pieces and stitch them together. Most of the time, that person “wears a lot of hats” and data analyst isn’t even one of them. Reporting, and the visualization that make it useful, is periodic rather than continuous, reactive rather than proactive and far less deep than it could be.

The result? Leadership ends up navigating by memory and instinct, which is a lot like driving without GPS. It works well enough most of the time. But "well enough" has a cost.

The Hidden Cost of Manual Business Intelligence

The issue isn't just inefficiency. It's what never gets seen.

When your business intelligence (BI) process depends on someone manually pulling data from disparate sources and assembling it into a spreadsheet or a basic dashboard, you're only getting to the surface. You might see what happened last month. You're unlikely to see why it happened, where it's trending or what to do about it next.

Consider a few scenarios that are common but often go undetected without a robust BI infrastructure:

• A growing segment of members with strong credit profiles is quietly migrating their primary financial relationship to a competing institution. Deposit data alone won't tell you that.
• A branch that looks fine on volume metrics is underperforming on member retention in ways that only become visible when product adoption, engagement and attrition data are analyzed together.
• A loan product that appears to be performing well has concentration risk that only emerges when you look at geographic distribution, origination channels and employer group exposure simultaneously.

These aren't hypothetical risks. They're the kinds of insights that modern BI platforms surface routinely and that manual, siloed reporting leaves on the table.

Efficient BI Isn't a Luxury. It's Infrastructure.

There's a perception in some corners of the credit union world that sophisticated business intelligence is an enterprise-level luxury. It’s reserved for the big banks and the largest institutions exclusively because they have the scale to realize it. That perception is increasingly outdated, and increasingly costly to hold.

The credit unions that are building competitive advantage right now are the ones investing in platforms that consolidate data automatically, visualize it clearly and make it accessible to decision makers without requiring a data analyst to run every report. The goal isn't to replace judgment, it's to make sure judgment is always informed by the best available intelligence.

Think again about the GPS analogy. Technology doesn't override your decision-making process. You still decide where you're going, when to leave and whether to take the suggested route. What it does is make sure you're deciding on the best possible route for you based on all of the information instead of just some of it. The expertise you've built over 35 years of driving doesn't become irrelevant, it becomes more efficient and effective.

The Question Worth Asking

If your current reporting process depends on manual extraction, periodic consolidation and best-guess visualization, the question isn't whether you're making good decisions. You probably are. The question is: how much better could those decisions be with integrated, accessible intelligence behind them?

Jeremy Jenkins is the VP of data analytics for Vizo Financial Corporate Credit Union. In this role, he consults with credit unions to help them leverage AI-driven technology solutions brought forward by the Corporate and its technology partners. In 2025, he returned to the Vizo Financial after serving as the president/CEO of Lanco Federal Credit Union in Lancaster, Pa., since 2020. Prior to his time with Lanco FCU, he held various roles at the Corporate, including corporate account manager and member relations director.