Using Data in Banking – Get This Framework

One challenge in banking is that many banks know data is the bank’s future but lack a data framework. As a result, their progress in leveraging data and machine learning is slow. In this article, we explore what a data strategy looks like, how that translates into tactics, and how the “Next Best Action” should…

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Deposit Marketing In the Age of Machine Learning

In the olden days, if you wanted to market deposits, the head of Retail would come to Marketing and say something like – “We need to raise deposits.” Marketing would then put together some ideas for a print or digital campaign; Retail would sign off on it, and then they would roll it out. Maybe…

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Data Architecture: 10 Reasons Why It Should Be In Your Strategic Plan

In 1983, Commodore International, with its Commodore 64 commuter, was the largest personal computer manufacturer in the market controlling over 50% of sales. By 1992, the Company was an afterthought, and by 1995 it was liquidated. Commodore’s demise is a case study of how NOT to care about your customers and why business intelligence through…

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Data Lake Houses: Getting Your Bank Data Right

In wrestling, there are hundreds of thousands of moves to learn. You will fail if you try to learn them all early in your wrestling career. Moves come with experience. Concepts come first. To start, what is essential is conditioning and learning about angles. Defending your angles and using angles to attack. When it comes…

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Branch Profitability in 7 Steps Using Data

While the branch still has its place in banking, it has radically changed since the pandemic. Branch profitability is now harder than ever to achieve. Driven by changing traffic patterns (data HERE), we talked about how these changes permanently altered branch strategy HERE and gave readers five new tactics HERE. In the past, we also…

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