Banking
Case Study
Banking
The client is a publicly traded multinational banking and financial services corporation, recognized as a leading bank in their region, providing best-in-class solutions to its customers.
The Problem
The bank uses multiple big data platforms to store their transactional data, which amounts to terabytes. The challenge the team faced was querying this vast data, as it took an extended amount of time to retrieve the necessary results. The team, part of the MIS department, handles numerous ad-hoc requests from business teams on an hourly basis, and they required faster query results with data visualizations. The bank’s data was stored across different systems, including HIVE, S3, and Impala, and they needed to mash up the data from these sources using a single query.
The Solution
BIRD provided a solution to reduce query times and ease the load on their big data servers. Using BIRD’s columnar database, the bank was able to process millions of data points in seconds, with visualizations layered on top. Additionally, BIRD facilitated data mash-ups from the HIVE, S3, and Impala source connectors.
The Results
- The turnaround time between the IT and business teams was significantly reduced.
- The solution required less IT infrastructure, resulting in cost savings for the customer.
- The bank gained the ability to mash up data from multiple sources on the fly.
- The customer appreciated the usability of BIRD’s solution compared to some of their existing tools.