Financial Services
Project Case
One of our financial services customers was facing challenges in analyzing large amounts of financial data in a timely manner. They had data stored in multiple systems, including on-premises databases and cloud-based data warehouses, and they needed a solution that would allow them to bring this data together and analyze it quickly.
VALUE HIGHLIGHTS
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Reduction in churn rate
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Increase in return
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Reduction in Operational cost
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Increase in profitability
Solution
The customer chose Azure Synapse Analytics for its ability to seamlessly integrate big data and data warehousing in one platform. They used Azure Synapse Analytics to create a data lake that ingests data from a variety of sources, including real-time data from financial transactions, customer data, and external data such as economic indicators.