For a marketing or commercial lead at a mid-sized financial institution, the landscape has shifted beneath your feet. A few years ago, data analysis was like a rearview mirror: it told you what happened last month. Today, thanks to the technological evolution documented between 2024 and 2026, data is the engine that predicts what your customer will need tomorrow.
Banking no longer competes solely on interest rates or low fees; it competes on relevance. Relevance is born from a strategy of data analysis in banking that is capable of transforming flat, generic transactions into identifiable life moments.
2024: The year of strategic urgency
In 2024, the industry faced an undeniable reality: generating and operationalizing insights through analytics and AI represented the “keys to the kingdom” in a digital environment defined by personalization.
During this period:
- Over 75% of firms were already employing third-party solutions to drive improvements in critical areas like account opening.
- However, adoption remained tentative. AI was used predominantly for “defense”: fraud detection and risk modeling led the way.
- For commercial teams, the SMB (Small and Medium Business) segment remained a glaring opportunity. Historically underserved, only 23% of institutions in 2024 prioritized helping small businesses get an accurate picture of their finances.
It was the beginning of the realization that without data enrichment, commercial offers were merely “shots in the dark”.
2025: The consumer mandate for personalization
The year 2025 marked a turning point in expectations. Research indicated that 74% of consumers across all generations desired more personalized banking experiences. Transactional data ceased to be a simple accounting record and became the bedrock of relationship loyalty.
For marketing departments, priorities shifted toward deep customer understanding:
- Life cycle analysis: Using data to anticipate major milestones—such as marriages, births, or new jobs—to provide tailored product offers.
- Conversational AI: The use of customer service chatbots rose to 28%, beginning to free human advisors from repetitive tasks to focus on high-value consulting.
Despite this, only 33% of leaders who listed data capabilities as a priority rated it as their top priority. The intention was there, but execution remained fragmented.
2026: The era of courage and differentiation
By 2026, the focus of mid-sized banks has matured significantly. Concern regarding new competitors (Fintechs and Big Tech) plummeted from 59% in 2025 to just 17% in 2026. Banks have learned that the real victory is won by mastering their own technological capabilities rather than just watching the competition.
Today, the absolute commercial priority is Digital Experience (57%). But this is no longer about visual aesthetics; it is about the ability to deliver the right product at the exact moment of need. This is where enrichment and insights take center stage:
- Innovation over parity: Leading institutions are no longer using partnerships to copy basic features; they are using them to build unique capabilities that competitors cannot easily replicate.
- AI as a sales accelerator: 49% of institutions now view advanced technologies as a vital trend. However, a massive gap remains: while data is considered a top trend, only 13% have successfully implemented personalized recommendations and insights.
For a mid-sized entity, this represents a golden opportunity. Those who close the execution gap and use data to humanize technology will win the ultimate prize: customer trust.
The strategic key: Data enrichment and actionable insights
For commercial and marketing heads, “flat” data is the enemy. A transaction that simply reads “AMZN $15.99” provides no value. An insight that identifies a “recurring digital subscription” or a “significant change in spending patterns” changes everything.
Benefits of data enrichment for commercial teams:
- Identifying life events: Anticipating needs for home equity, insurance, or savings products based on real-time activity.
- Smart cross-selling: Moving away from mass loan campaigns to tailored cash-flow solutions for businesses and individuals.
- Deposit acquisition: 56% of institutions now leverage data to target special deposit offers to existing customers, reducing the need to compete solely on marketplace rates.
- Reducing silent churn: Predictive analytics identifies behavioral signals of dissatisfaction before the customer decides to close the account.
The “Leadership Courage” challenge
The 2026 report is blunt: banking faces a leadership crisis, not a capability gap. Many institutions continue to invest in expanding physical branch networks (42%) even as they declare digital experience their top priority.
For leaders in mid-sized banks, success in 2026 depends on agility. You no longer need a global bank’s budget to compete. Thanks to the democratization of technology and the mainstreaming of fintech partnerships (67% adoption), advanced analytics and AI tools are accessible to all.
From products to value ecosystems
Data analysis in banking has traveled a long road since 2024. It has evolved from a defensive, compliance-driven function to the bridge that connects an institution to the customer’s daily life.
At Coinscrap Finance, we understand that your goal is not just to “analyze,” but to sell better and retain longer. Our enrichment and insight generation tools are designed specifically to help mid-sized banking teams compete in the league of hyper-personalization without the friction of legacy overhauls.
Is your strategy for this year based on intuition, or on the courage to act on real data?
About the Autor
Juan José Gómez is CMO at Coinscrap Finance, where he leads the marketing team and manages the fintech’s global communication strategy. With over 15 years of experience in the industry, he specialises in marketing and financial technology.
His responsibilities include setting goals and strategies, organizing events and webinars, coordinating with the sales team, and hosting The Fintech Podcast.
He holds a degree in Advertising and Public Relations, as well as several Master’s degrees in Online Marketing. In addition, he has extensive experience in inbound and growth marketing, content marketing, SEO, PPC, web analytics and automation.
Frequently Asked Questions (FAQs)
Why is data enrichment important for banking in 2026?
Data enrichment allows for the transformation of generic transactions into actionable insights. This helps financial institutions anticipate customer needs, such as life events or changes in spending habits, directly improving hyper-personalization and customer loyalty.
How can medium-sized financial institutions compete in the current sector?
The key is agility and the adoption of strategic alliances with Fintechs. By using advanced analytics and AI tools, medium-sized institutions can implement data enrichment solutions that humanize the digital experience without requiring large budgets.
How has data analysis in banking evolved from 2024 to 2026?
Analysis has shifted from a defensive approach (risk and fraud prevention in 2024) to a proactive commercial growth engine (2026). Today, the priority is the digital experience and the use of predictive insights to offer the right product at the exact moment of need.
What advantages does Coinscrap Finance offer for customer retention?
Coinscrap Finance provides specialized data enrichment tools that enable commercial teams to identify cross-selling opportunities and predict signs of dissatisfaction, helping to retain customers longer through a personalized value proposition.
