A Leading US Life Sciences Company Achieved 100% Monthly Data Certification Using Data Governance and Certification Framework

Challenges

The client sought strategic guidance to establish a robust data governance and certification framework for their Azure Cloud Data Lake to:

• Maximize ROI from their cloud-based data assets.
• Ensure data quality, consistency, and authenticity across diverse datasets.
• Lower total cost of ownership through streamlined processes and skilled teams.
• Align governance processes with stringent regulatory compliance requirements.
• Implement proactive issue detection and auditing to prevent data integrity risks.

Solution

Coforge designed and implemented an end-to-end Data Certification & Governance framework tailored to the client’s Azure Data Lake environment.

Key Solution Highlights:

• Conducted full data landscape assessment, Data Quality (DQ) evaluation, and Master Data Management (MDM) health checks.
• Designed a comprehensive Data Quality certification process with monthly audit cycles.
• Collaborated with IT and business teams to onboard new datasets, enhance stewardship processes, and enable self-service data access.
• Performed health checks on HCP/HCO MDM processes, optimizing match-merge rules, IDQ configurations, and exception handling.
• Developed an advanced automated audit balance control system for early detection of data mismatches across the Data Lake.

The Impact

• 100% monthly data certification for Azure Data Lake.
• Significant ROI improvement through improved MDM accuracy and reduced rework.
• Early-warning notifications for potential data issues, improving time-to-resolution by 40%.
• Proactive identification and remediation of data anomalies, strengthening compliance and trust in enterprise data.