End-to-End Management of a Global Investment Bank's Proprietary Research Database
Client: Global Investment Bank
Objective
Enhance and assume ongoing, end-to-end management of a proprietary research data base for a global investment banks.
Challenges
- The scope of support expanded from model linking and troubleshooting database issues to ensuring MiFID II compliance
- Real-time support with utmost data accuracy was the key requirement, along with reducing data discrepancies and errors in metrics published
- Crunch-time model upload issues and technical glitches, preventing publication
- Disclosure-related problems due to differences in identifiers
- Expanded coverage and support not only for existing equity/FICC, but also other security/asset types such as ETFs and loans
CRISIL's Solution
- The CRISIL team stepped up to enhance audit analysts’ models prior to initiations to ensure they match the client's expectations on workability and data quality
- Helped improve overall data quality of the financial metrics/data points by automated validations and manual cross-checks/follow-ups with analysts
- Provided seamless support to the bank on the database front, leveraging the team’s domain expertise over years, ensuring there is nil impact in BAU for the analysts/research department
- Automated disclosure-related identifier checks and performed regular clean-ups to ensure accurate reporting
- Assisted in ETF coverage expansion and loans coverage for the bank and ensured the systems were up to speed to accommodate enhancements
- Made key contributions during technology testing cycles, suggested and facilitated various changes to the research database to enhance the user experience and improved value addition to the bank
Client Impact
- End-to-end ownership of the client database, including enhancements
- Added value through dynamic validation checks, resulting in saving of 5,000+ hours per annum and improved data quality
- Reduced time to publish research models
- Complete ownership of the training of client teams on database to improve their efficiency
Questions