Data Management
Data management has quickly evolved into a strategic imperative for risk management. CRISIL works with financial institutions to develop state-of-the-art data management platforms. Starting with the development of a robust data management strategy, we partner with clients to build integrated data architecture and enterprise data management solutions, including advanced risk-data warehouses and repositories, and cutting-edge data analytics tools that generate insights.
Our expertise and focus on data quality, providence, sourcing and validation eliminates inefficiencies and gives CRISIL clients the confidence to integrate data analytics into core operational functions and the most critical business, operational and investment decisions.
Solution Components
- Creating target-state strategic data flows
- Establishing common processes and guidelines to manage, manipulate and share data
- Data lifecycle management solution
- Creating target data lineage and data dictionary artifacts
- Enterprise-wide data model structure
- Data extraction from different sources (APIs, websites, PDFs, etc.)
- Platform to facilitate big data analytics and reporting
- Defining taxonomies to tag- and-group data
- Data transformations and standardisation
- Data integration and enrichment
- AI/ML-based data quality measurement and monitoring
- Accelerators such as data quality control application, data lineage discovery tool
- Leveraging data and business process understanding to implement data validation rules
- Performing root cause analysis (RCA)
- Reviewing governance framework against regulatory requirements
- Automating compliance reports to enhance real-time monitoring
- Creating reports and dashboards for oversight
- Defining data ownership and controls
CRISIL EDGE
Case Studies
Questions
Holistic set of data management and analytics offerings across front office, middle office, risk, finance, regulatory and technology functions
Expertise in statistical techniques like decision trees, regression, survival analysis, conjoint analysis, and cluster analysis for predictive and prescriptive analytics
Extensive technology expertise across programming languages, databases, data and analytics tools, and advanced technologies (ML, AI, RPA), including our proprietary big data analytics platform, Fulkrum
Experience in handling all types of data – market, demographic, transaction, marketing, etc.