BFSI - Leading Bank – EDW & MIS-ADF Implementation
Engagement Details
Primary Operations: India
Associated since: 2019
Service Type:
Development & implementation
Service Model:
T&M
Status: On-going
Methodology: Waterfall
Scope/Challenges/Key objectives
Business Case:
Regulatory and MIS reports were being generated using legacy systems and without a Central repository for data. The response timelines were too short for manual intervention and caused huge delays and increased validation efforts due to errors. Management wanted to build a CDR/DW with good-quality data and automate the report generation and submissions through one solution. The solution required the implementation of a Maker-Checker option to validate the Regulatory reports before submission. The solution required handling of both XBRL and non-XBRL reports automatically and be able to incorporate the changes that periodically appear in the XBRL formats.
Challenges:
- Multiple system for MIS, RBI reports
- Functional heads could not take decisions using existing MIS reports
- Manual preparation of regulatory reports causing huge delay in reporting
- No single DB (CDR) for implementing advanced analytics solutions
- Automation for RBI reports
- No advanced analytics to get proper KPIs in time
Solution, Technical Environment, Benefits
Solution / Project Engagement:
- Building unified data sources for analytics
- DQ assessment, completeness and correctness validation with channel management
- Designing the RBI ADF, MIS and other reports/dashboards
- Web portal to provide the history of report, punching the data, performing the validations and downloading the reports
- Drilldown dashboards to analyze each event with customized triggers and alerts
- Role based access to the reports and dashboards
- Maker-Checker option for Regulatory reports enabled report verification before submission
- Drill Down reports to Facts and Dimensions level
- Web tool to build Ad-hoc reports through Drag-Drop
Technical Environment:
- SAS Banking analytics, SAS VA, Java, Oracle, Java Fullstack
Benefits:
- Hands free end to end Data flow ensuring data quality and consistency
- Data Trust is improved and enabled confident Decision Making
Automated report update with maker-checker
Self-service BI
Readymade dashboards
Datawarehouse- dnified sources with future need addressed
