In the ever-evolving landscape of financial services, data reigns supreme. Harnessing the power of data is not just an option; it’s a strategic imperative for banks looking to thrive in the digital era. Enter the Enterprise Data Warehouse (EDW), a robust... View
The banking industry has changed profoundly in recent years, with data playing a pivotal role. Data in banking is no longer confined to silos but has become a democratized resource that drives innovation and change. This blog explores the concept of Banking’s... View
Three things are coming together to start the next spotlight – Data Analytics in BFSI. First, think about how technology has changed. Information is becoming more and more accessible. In the past few years, the amount of valuable data—actual signal, not just noise—has... View
Financial institutions use data and predictive analytics to improve customer experience and amplify business success. Today, banks want more than incremental gains. They want data-driven revenue breakthroughs. Banks increasingly rely on data. It’s the future of... View
Ninety-nine percent of respondents to a recent Atlassian Survey – DevOps Trends state that DevOps has positively influenced their firm. There is a reason why post-COVID, DevOps has an increased preference for leading banks and FIs. Amidst the epidemic, some... View
Generative AI can turn a user story into test ideas in seconds. For a bank, speed is only the first test of value. The harder questions are whether the generated scenarios reflect the bank’s products and controls, whether important edge cases are missing, whether sensitive information is protected, and whether a reviewer can understand why […]
For many regional banks, the barrier to better quality engineering is not a lack of ambition. It is the assumption that meaningful change requires another multiyear replacement program. Most institutions already have a test management platform, automation frameworks, CI/CD pipelines, defect tools, device farms, reporting, and controls. These investments may be uneven, but they are […]
Regression testing in banking often presents an uncomfortable tradeoff. Run the full suite and feedback may arrive too late. Run a reduced suite and teams may worry that the wrong scenario was excluded. The root problem is not always execution capacity. It is weak selection intelligence. Static regression packs were built for a more predictable […]