Fixing Banks’ Intractable Data Problem

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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:

  • Data storage: Where does customer data go once it’s produced? How do you centralize that data when it’s siloed between systems?

  • Data ingestion and aggregation: What zero- and first-party data do you have, what third-party data do you have access to, and how do you extract and import it?

  • Preparation: How is your data formatted when it’s extracted? What needs to be done to clean and standardize it in ways that make it usable for analytics?

  • Enrichment: What attributes is your data missing that would make it more useful? How do you add and associate them?

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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