How FSI firms move from fragmented data to hyper-intelligent decisions

Financial institutions face mounting pressure to balance regulatory compliance, risk management, and customer growth while legacy data warehouses slow down innovation and drive up costs. 

Customers want instant, personalized service. Regulators want deeper transparency. Inside the bank, teams are juggling point solutions, spreadsheets, and overnight reports that arrive just in time to be out of date. Every new request—from a new risk scenario to a new product idea—turns into a mini-transformation project.

OpenText has mapped this tension into a seven-step journey from traditional to hyper-intelligent financial service institution (FSI): a state where decisions are faster, evidence-driven, and easier to explain and defend.  

This blog looks at three big shifts behind that journey and why your enterprise data warehouse is the backbone that makes all three possible.

Shift 1: Data-driven decision-making for banks and financial institutions

Even in data-rich banks, a surprising amount of strategy still rests on habit ...