Banks need to ensure quality, consistency and precision of data that is fed into their mission-critical applications. This is possible only with a robust and scalable Business Intelligence (BI) solution.
Here’s how Mindtree helped a leading US bank manage their data, more eﬀectively and eﬃciently.
The bank was not able to handle enormous amount of mission-critical data every day. As a result, meeting stakeholder expectations and focusing on strategic initiatives was becoming a challenge.
Mindtree enhanced the customer’s data warehouse by building a cost-eﬀective, value based and scalable business intelligence model called BI factory. We achieved timely delivery and quality by streamlining data from all work units. In collaboration with the customer, we devised a strategy to meet the future road map. The solution enabled us to deliver 230+ new reports and 1581+ enhancements.
The BI factory had every BI work unit go through three primary phases as depicted below.
Our BI factory approach and methodology ensured that we: