Banks have reshaped their operations over the past 50 years.
What used to move in cycles now shifts in real time. Risk compounds quickly. Fraud adapts. And customers don’t compare their bank to another bank anymore – they compare it to every digital experience they’ve ever had.
The technology has changed just as dramatically. Banks have moved from batch processing and siloed systems to cloud platforms, real-time analytics and AI models that can evaluate decisions in milliseconds. But the pressure behind those decisions has only increased from regulators, markets and customers who expect everything to just work.
Through it all, one thing has remained constant: the need to turn data into decisions you can trust.
To mark our 50th anniversary, we looked at how that challenge shows up today through a set of customer stories that reflect where banking has landed and where it’s going next.
Rebuilding the foundation of credit risk: United Overseas Bank
Growth sounds simple until you have to control it.
When United Overseas Bank acquired Citibank’s retail businesses across Southeast Asia, it added millions of customers almost overnight. That kind of expansion multiplies complexity. More portfolios, more systems and more decisions that must hold up under scrutiny.
Ten or twenty years ago, this would have meant stitching together regional systems and reconciling decisions after the fact. UOB took a different path.
With the right tools, insights and operational agility in place, we’re now better equipped to deliver timely, data-driven credit decisions that support both resilience and growth across the region. Jagan Kanthadai Managing Director, Head of Group pFS Risk – Credit Risk Management UOB
The bank built a single credit engine to consolidate everything. Data, models and decisioning now run through a common foundation across markets. Teams can manage segmentation, limits, collections and risk strategy without rebuilding the process in every country.
The real win here is control at scale. Credit risk becomes something the bank can actively steer, not just monitor after the fact.
Stopping fraud in milliseconds: Deutsche Kreditbank
Fraud used to give banks a window. Instant payments closed it.
Deutsche Kreditbank embedded detection directly into each transaction. There’s no buffer anymore. Banks must catch fraud immediately or lose the money.
Not long ago, fraud systems relied on rules and reviewed transactions after damage occurred. That model doesn’t hold up anymore.
Precision in fraud detection is essential. With the SAS Viya platform, we can safeguard legitimate customers and identify real fraudsters, detecting suspicious activity as early as the registration stage. Florian Lindemann, Domain Lead, Data Platform & Fraud Solutions
The bank rebuilt its fraud system to score transactions in about 50 milliseconds. That speed matters, but speed alone doesn’t solve the problem. Blocking legitimate payments causes its own damage: lost trust, frustrated customers and broken experiences.
Now the challenge is precision: stop real threats, let everything else move. That’s the difference between protecting customers and slowing them down.
Modernizing risk reporting for a cloud-first era: Absa Bank
Some of the biggest problems in banking don’t show up on the front end.
At Absa, model monitoring had become a bottleneck. Reports took weeks. New frameworks took months. Skilled analysts spent their time running processes instead of interpreting results.
A decade ago, teams expected that lag and built reporting cycles around batch processes and manual workflows.
The bank rebuilt the workflow in the cloud and automated what had been manual. Reporting cycles dropped from weeks to hours. Models can be onboarded and evaluated without dragging down the system.
Now the work shifts to where it actually matters – understanding risk, not chasing it down in spreadsheets.
Predicting payment fraud in real time: Nets
Payments move fast. Fraud moves faster.
Nets operates across a huge volume of transactions, which gives fraudsters plenty of cover. The challenge is doing it before the transaction completes.
This wasn’t always possible. Detection used to happen after patterns emerged, not within the transaction itself.
With SAS Fraud Management, we can process massive amounts of data to identify unusual patterns and sift the fraudulent transactions from the authentic ones – all in real time. Jukka-Pekka Kokkonen Head of Fraud and Dispute, Nexi Group
Now the system evaluates every payment in real time using behavioral, device, location and other signals. It stops high-risk activity immediately and reviews everything else without slowing the system.
There’s no clean win in fraud detection. You’re always balancing missed fraud against unnecessary friction. The goal is to stay ahead without making every transaction feel like a risk check.
Turning stress testing into strategy: Standard Chartered
Stress testing used to sit firmly in the compliance lane.
Teams ran scenarios periodically, reviewed results and rarely used the output to shape day-to-day decisions.
Standard Chartered pushed that model further.
By connecting risk and finance in a single view, the bank can see how different shocks affect profit, capital and long-term performance as conditions change.
That shift turns stress testing into something more than a regulatory exercise. Instead, it becomes a way to decide where to invest, where to pull back and how much risk to carry – before those decisions are forced.
Designing banking around the customer: CIMB Singapore
Banks don’t compete on products alone anymore.
For CIMB Singapore, the issue was a lack of visibility. Customer information was spread across too many places to form a clear picture of behavior or intent.
Not long ago, that fragmentation was the norm. Teams relied on campaign-based engagement instead of continuous interaction.
Bringing that data together created a more complete view of each customer. Now the bank can engage at the right moment, across channels, with something that fits what the customer needs.
The project allowed us to extend our reach. With advanced analytics, we are able to derive critical insights into our customers’ needs and engage them at key moments to help in their decision making. Merlyn Tsai Head of Consumer Banking, Digital and Customer Experience CIMB Singapore
Timing matters more than volume. The right message at the right moment will always outperform more noise.
Scaling financial crime prevention for a new banking model: Treezor
Banks no longer define the boundaries of banking.
Treezor operates under a model in which payments, platforms and financial services blend together. That creates more opportunity and more exposure to financial crime.
Banks built traditional systems for clearer boundaries, where accounts, transactions and institutions rarely overlapped.
To keep up, the company built a system that surfaces connections across transactions, accounts and users. The system prioritizes alerts by risk and enables investigators to follow patterns hidden in isolated data.
We are the first BaaS player to partner with SAS, who helped us implement a state-of-the-art solution in a tight time frame. Our AML analysts quickly adapted to the new solution, and the network capabilities are a game changer. Adin Buhks Chief Risk and Compliance Officer Treezor
As financial services spread into new models, risk spreads with them. The systems designed to catch it have to evolve just as fast.
The next chapter of banking innovation
Everything in banking is speeding up. Decisions happen faster. Risks surface faster. Expectations change faster. Ultimately, the advantage comes from knowing what matters and acting on it before the moment passes.
That’s what connects these stories. Different use cases, same pressure: find the signal, make the call, move forward with confidence.
That’s been the challenge for 50 years. It just doesn’t wait anymore.
