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
Data Strategy and Architecture
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, Aggregation, Analytics & Reporting
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
Data Quality Management
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)
Data Governance
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
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.
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.