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Financial Services Business Intelligence


Insurance firms, banks, and investment companies face critical challenges that amplify the risks in todays dynamic marketplace. The complexity of investment vehicles such as mortgage derivatives contributes to large volumes of business data, often isolated in disconnected silos. Compliance at the state, national, and international levels requires greater transparency, oversight, and accountability, while scandals and historic market losses are driving increased regulatory scrutiny.

Within this challenging environment, financial services firms like yours need to better assess and manage risk to enable accurate asset valuation, prevent data loss and fraud, increase transparency, and optimize compliance. Only then can you win the confidence and the business of investors around the world. But effective risk management requires a foundation of trusted enterprise data. To this end, leading financial firms are adopting advanced risk management and data integration solutions to manage market, credit, and operational risks across the disparate silos of enterprise data and applications.

Case Study Snapshot

Montpelier Re had a complex and data-intensive environment with terabytes of analytical geospatial data. Its manual Excel-based reporting process and an inability to "unlock" data analysis launched a search for a Business Intelligence solution.
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