Data Siloes in Banking

Consider This: a customer applies for a mortgage, and you're an underwriter pulling their account history. You see their FICO score but can't see their debit card behaviors or even their primary deposit account. You'll eventually be able to see it when gathering a report, as the data points exist, but they're stored in different datasets. You're left with an incomplete process at the will of your CORE and reconciliation process. Without a complete on-demand view of the customer's financial story, compliance teams utilize workarounds, and underwriters have partial profiles. And the customer? They wait longer for a decision. What's the real issue here? Data Siloes in Banking. Hidden behind tiered pricing through on-premise systems and buried in outdated reports, legacy architecture wasn't built for the complexities of modern banking.

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Data Siloes in Banking

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