Data is increasingly becoming central to companies, helping them make quantitative decisions. But with the increasing amount of data being generated across business units, and the heightened regulatory scrutiny, proper data management is the need of the hour. Crisil’s team of data analysts help our clients define a robust, integrated data management strategy, create golden data repositories, transition to strategic data platforms, and analyse data to derive meaningful insights for better decision making. Our data analysts possess deep industry knowledge, strong technology skillset, and understanding of the complex regulatory environment to assist our clients in preparing for the future with a unified strategy that minimizes costs and ensures pertinent regulatory compliance.
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 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 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.