Community banks and credit unions have more customer data than ever before, but disconnected systems often prevent them from turning that data into meaningful business insights. In this article, we explore the seven biggest data challenges financial institutions face in 2026, from fragmented customer information and poor data quality to reporting delays and AI readiness. Learn how a modern Customer Data Platform can unify your data, improve decision making, automate marketing, and help your institution strengthen relationships, increase growth, and stay competitive in an increasingly digital banking environment.
Category Archives: Customer Data Platform
AI helps marketers turn relationship data into sharper audiences, better plans, and faster action. Read how.
For decades, Marketing Customer Information Files (MCIFs) were the default way for banks and credit unions to centralize customer data. They promised
better targeting, sharper marketing, and stronger cross-sell.
But in 2025, that era is ending.
The cost of bad data is staggering. Industry research shows that the global banking sector loses more than $400 billion each year due to dirty data. For individual institutions, that translates into 15 to 25 percent of annual revenue.
Explore the 8 main data problems community institutions face, the reason behind them, and the best way to solve them to drive marketing, retail, commercial, and sales.
“We know our data is valuable, but…” Financial institutions have more data on their customers than any other industry. The average institution has 500 million data elements per $1 billion in assets. Yet, this strategic asset is often inaccessible and underutilized due to legacy technologies and silos in your IT environment. Most bankers know that…
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