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
Reduction in churn rate
0
%
Increase in return
0
%
Reduction in Operational cost
M
Increase in profitability
0
%
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.