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A Fortune 100 U.S. insurer was experiencing high claims losses and set out to get a deeper understanding of the reasons behind them. It was essential to conduct a deep dive analysis of claim losses based on region, agency and product.
The client, a leading specialty insurer, was looking to modernize their IT systems to achieve faster time to market, eliminate legacy mainframe costs and bring down their overall total cost of ownership, while aligning their IT more closely with the company’s business objectives.
A large insurance company required an enterprise data warehouse with integrated dimensional modeling to meet its business objectives. Syntel created accelerators to help the customer reduce costs and improve time to market.
A large personal line insurer wanted to consolidate BW systems to a Digital Enterprise Platform to improve efficiency, and reduce maintenance cost, complexity, and data redundancy. With ever increasing data volumes, they needed a robust framework to help them derive information from data for taking key business decisions.
The client is a Fortune 100 insurance company that was looking to replace an aging SAP Business Warehouse (BW) system with a high degree of data redundancy to the more modern, in-memory SAP HANA platform.