Fixing Banks’ Intractable Data Problem
AUGUST 8, 2024
By: Tyler Brown
Analytics and Vendor Management
It’s no secret that most financial institutions (FIs) spend too much time extracting and making sense of their data and don’t get enough value in return. Many have tried to fix the issue by outsourcing data-related tasks but have only made it halfway: FIs in a study commissioned by MX predominantly managed their consumer data using a combination of in-house and outsourced solutions. (A significant but smaller number either outsourced completely or did it all in-house).
“In-house” means different things for FIs with different capabilities. It also suggests why partial outsourcing can be a half measure. Few FIs have a strong ability to extract, collate, and utilize the customer data in their systems. Reporting is often rudimentary and manual, and even when data management is automated, fragmented systems stand in the way of a holistic view of customers. Competitive hybrid and in-house approaches often demand new technologies.
A good exercise for an FI’s management team would be to step back from day-to-day reporting and get a clear idea of what needs to happen for the FI’s data to support meaningful insights into customers. They should then ask what the FI should do, either on its own or with a vendor, to facilitate the data’s transformation into insights.
Discussions about modern data management should cover:
After answering these questions, bankers should decide what they can manage entirely on their own and what they need help with. A large FI with resources dedicated to proprietary technology will paint a different picture from the average community or regional FI.
For smaller institutions, turnkey customer data management and analytics platforms will be attractive — on top of the account processing system, FIs also deal with data from different products and business units, CRMs, and fraud and risk, for example. But the complexity and diversity of applications will inhibit any perfect solution.
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