Insurance

Reliable Data Governance at Scale

Strengthening governance through standardized workflows, automation, and compliance-focused controls for reliable data management.

Client
A leading mutual life insurance provider
Goal
Implement structured workflows to ensure reliable, compliant, and scalable data governance across complex and growing data products
Tools and Technologies
React Js, Node Js, PostgreSQL, Bitbucket, Jenkins
Business Challenge

The organization needed to strengthen its data governance framework to handle the increasing volume and complexity of data products. Key challenges included establishing governance best practices with standardized workflows and controls, ensuring reliability and accuracy of data across multiple systems, and meeting evolving regulatory requirements. The lack of structured processes created risks to data quality, trust, and compliance, making governance modernization essential.

Solution
  • Designed structured workflows to manage the lifecycle of data products with consistency and accountability
  • Automated governance processes to streamline collaboration across teams and improve efficiency
  • Standardized data-related tasks and controls to ensure uniformity and adherence to best practices
Outcomes
  • Increased scalability and reliability of governance framework, ensuring consistent data quality
  • Improved user experience with simplified and intuitive governance workflows
  • Strengthened compliance through embedded controls and automated processes
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