A particularly thorny data architecture problem in large financial institutions is unified customer search.
A shared, connected view of all relevant customer information is important to multiple functions: customer service, marketing, legal, audit, operations, and more. But that information is housed in multiple primary systems that deliver specific products or services. Manual customer search requires cobbling together multiple query results in an inefficient and often ineffective manner.
The visionaries who have solved this problem have done so by working with information differently than their peers.
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