In 1959, Bank of America installed ERMA (Electronic Recording Machine, Accounting), the first large-scale banking computer system. It ushered in a new world. Instead of humans doing all the computational work by hand, computers could now handle that basic data processing. And for the next 60 years, banking technology followed that same pattern: Computers produced…
Many community banks are data-rich but insight-poor. This post explores how an agile, phased approach to business intelligence can help banks unlock meaningful insights quickly—without massive investments or long timelines.
Mergers move fast—and if you don’t get the right data early, you risk flying blind. This post explains why smart acquirers push for structured data extracts before legal close, what information to ask for, and how to do it responsibly. From product planning to fair value adjustments, the payoff is huge.
Data is the key to smarter decisions, better customer experiences, and long-term growth. But many banks still struggle with fragmented, hard-to-access information. This post breaks down the core benefits of a modern data warehouse—from integrating siloed systems and improving efficiency to enabling advanced analytics and supporting real-time business intelligence. If your institution hasn’t made data a strategic asset yet, now is the time.