Building a Performance System for DXP ROI
26 mai 2026 • 5 Minute Read • Peter Graham, Directeur de la stratégie, Données et analytique
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The Competitive Advantage Regional Banks Have and Aren't Using
29 juin 2026 • 4 Minute Read • Jared Amaral, Responsable principal de livraison, BI et analyse de données
It’s Monday morning and a Chief Banking Officer (CBO) at a $4B regional bank opens her laptop to a notification from the chair asking a series of questions:
Who are our top 100 commercial relationships?
What are their relationship values and how are they trending?
Can you bring this to the board meeting Thursday?
Her mind immediately jumps from system to system, tracing where the answers might be found, realizing that deposit balances are in the core banking system, loan exposures are in the commercial Loan Origination System (LOS), treasury activities are in another platform, digital engagement in another, and relationship management notes are in Salesforce.
The bank's analytics lead needs three days to piece together the answers, stitching data from multiple systems into a spreadsheet that will already be out of date by Thursday. By then, two of those top 100 commercial relationships may have moved operating cash to a competitor, and nobody will know until month-end.
Why is such a fundamental strategic question so difficult to answer?
The information exists, but it’s scattered across systems, departments, and individual employees. What should be customer intelligence instead become a collection of disconnected facts. This isn’t a technology problem; however, there is an intelligence gap.
For many middle-market banks and credit unions, that has become a defining competitive challenge.
The Mid-Market Squeeze & Where You Can Win
Mid-market depository institutions are squeezed between two kinds of competitors, in a competitive sandwich:
- Above them, megabanks compete on scale: 100 times more transactions, tech investment spread across tens of millions of customers, data science teams larger than most regional banks' entire IT departments.
- Below them, digital-only banks that compete on cost and rate: no branches, minimal staff, aggressive deposit pricing, customers acquired and served through a phone screen.
Mid-market banks won't out-scale JPMorgan. They won’t out-cost SoFi. The question isn’t how do we beat them at their game. It’s where can we lean into our differentiated strengths?
The answer is building and acting upon customer intelligence in a measurable way.
Accenture found that North American banks with the strongest customer relationships grow revenue 2.6 times faster than their peers. The difference is having the intelligence to consistently understand, prioritize, and act on those relationships at scale.
The Gap Between Relationships and Intelligence
Many regional bankers may claim that their bank already competes on relationships. Fair.
But where is that relationship knowledge? Account data is scattered across systems, held together in the brain and spreadsheets of a career relationship manager.
For example, the customer relationship management (CRM) system knows that a founder's son took over the family's other business, and which guarantees that affects. But when that RM retires, the intelligence retires with him.
Multiply that scenario across thousands of commercial customers and tens of thousands of households. The bank has decades of accumulated knowledge, but none of it is readily operational. None of it scales. None of it survives turnover.
Operationalizing that knowledge is an untapped advantage.
How to Make Customer Intelligence Actionable
Operationalizing customer intelligence requires three things.
1. Implement a Unified View of the Relationship
More than a dashboard, this view is a trusted, governed Customer 360 foundation that resolves customer identity across systems, links households on the consumer side, and assembles full business relationships across legal entities, guarantors, and product lines on the commercial side.
In plain terms, the fragmentation we just walked through isn’t a reporting nuisance; it's a structural limit on what marketing, relationship management, and analytics can accomplish downstream and an obstacle that's widespread. According to MuleSoft, 88% of financial services IT decision makers agree that data silos create challenges.
Buying a CRM, standing up a data warehouse, or completing a digital transformation program are necessary foundations, but the data unification issues typically linger. The harder problems, resolving identity across systems, linking households and entities, governing the definitions over time, usually remain.
2. Enable Intelligence That Looks Forward
Most banks have plenty of reporting that tells them what already happened. What they don't have is intelligence that signals what's about to happen, in time to do something about it:
- Commercial relationships showing early deposit erosion this week
- CDs at flight risk in 60 days
- Households that have grown into cross-sell territory marketing has never seen
- RM portfolios that are quietly thinning
Forward-looking customer intelligence is the difference between explaining last quarter's attrition in a board deck and doing something to prevent the next quarter's attrition.
3. Embed Activation in the Workflow
The hardest part is getting the signal to the person who can act on it, in the work they already do, at the moment they need it.
A dashboard waiting to be opened doesn't change behavior. Intelligence that arrives in the RM's prep brief, the branch huddle, or the marketing campaign queue does. The CBO needs the top 100 views assembled before Monday morning, not on it. The RM needs the renewal brief before the meeting, not after.
Activation is what turns customer intelligence from a capability the bank has into a behavior the bank does.
When intelligence consistently reaches employees and systems at the right moment, banks improve both execution and results.
McKinsey has found that banks that systematize personalization generate 5–15% higher campaign revenue and cut time-to-market by two to four times, illustrating the value of embedding intelligence directly into day-to-day workflows rather than leaving it trapped in dashboards.
Customer Intelligence in Practice
Let's replay the scene, this time with customer intelligence at the ready.
The CBO opens her laptop and reviews a pre-assembled view of the bank’s top 100 commercial relationships. Recent trends show two relationships flagged for deposit erosion over the past six weeks, while a third has a credit facility renewing in 75 days. An RM brief is already drafted, providing a full view of the relationship, competitive rate context, and recommended retention talking points.
Instead of assembling information from multiple systems, the team can focus on deciding what to do with it.
Thursday's board meeting becomes a different conversation. She doesn't just answer the chair's question; she presents the bank’s response and the actions already underway.
The consumer side runs on the same foundation, with different mechanics: campaign-ready intelligence at the household level, branch action queues, the same shift from reactive reporting to proactive engagement.
Where to Start
The 'competitive sandwich' is real. But so is your competitive advantage. The question is whether your institution is operationally designed to use it.
If you've recognized your institution anywhere in this article, that's the conversation our Data & Analytics team wants to have. Contact us today.