Client Challenge
A leading global insurer faced significant challenges in managing and reporting on Governance, Risk, and Compliance (GRC) data across multiple systems. The existing GRC data model was fragmented, making it difficult to ensure data consistency, maintain governance, and generate reliable reports. Key challenges included:
- Complex data structures spread across multiple GRC platforms.
- Limited ability to produce accurate, consistent reports for risk and compliance.
- Inconsistent data governance practices, leading to data quality issues.
- The need for a scalable data architecture capable of supporting future growth.
Our Solution
SureStep was engaged to design a comprehensive data strategy for the client’s GRC environment. Our approach included:
- Conducting an in-depth analysis of the client’s existing GRC platform data, including data models, relationships, and data flows.
- Designing a scalable, cloud-enabled GRC Data Lake, providing a centralized repository for GRC data from multiple systems.
- Developing detailed technical blueprints for the Data Lake architecture, including:
- Entity Relationship Diagrams (ERDs) to document the data model.
- Field mappings and relationship mappings, ensuring data consistency.
- SQL development for data extraction, transformation, and loading (ETL) processes.
- Implementing robust data governance practices, including:
- Clear data ownership and stewardship roles.
- Data quality monitoring and validation procedures.
- Process documentation to ensure consistent data management.
- Designing a reliable reporting framework, enabling the client to generate consistent GRC reports across all systems.
Results Achieved
- A fully documented, scalable GRC Data Lake architecture, providing a single source of truth for all GRC data.
- Enhanced data consistency and quality through robust governance practices.
- Streamlined data integration and reporting, enabling faster, more accurate compliance reporting.
- A future-ready data strategy, capable of supporting new GRC systems and data sources as needed.
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