A Leading European HR Services Provider Improved Data Accuracy by 60% Using Data Governance and Quality Framework
Overview
The client is one of Europe’s leading HR service providers, delivering recruitment, workforce management, and talent solutions to businesses across multiple sectors. Operating at scale, the organization manages vast volumes of employee and candidate data and is committed to ensuring compliance, data security, and operational efficiency while driving workforce innovation.
The client faced fragmented governance processes, inconsistent data standards, and a lack of unified visibility over HR data. Key challenges included:
Absence of a comprehensive Data Governance (DG) and Data Quality (DQ) framework.
Inconsistent business terms and definitions across systems.
Limited ability to measure, monitor, and improve data quality at scale.
Gaps in compliance, reporting accuracy, and secure data access.
Solution
Coforge partnered with the client to design and implement a comprehensive Data Governance & Quality framework, enabling consistent, high-quality HR data management.
Solution Highlights:
Conducted data discovery and quality assessment, identifying critical issues and defining DQ rules.
Developed a DG framework with stakeholder roles, responsibilities, and stewardship processes.
Created a data catalog and business glossary for standardized definitions.
Established data quality rules, KPIs, and compliance dashboards using Informatica Data Quality and Collibra DG tools.
Implemented metadata ingestion via Edge and REST APIs to ensure seamless integration.
Delivered an end-to-end DG & DQ pilot for stakeholder demonstration and adoption.
The Impact
60% improvement in HR data accuracy and consistency across systems.
Enhanced compliance, reducing operational and regulatory risk exposure.
Improved decision-making through real-time access to trusted HR data.
Streamlined collaboration between business, IT, and data teams with a single source of truth for HR metrics.
Increased operational efficiency by 30% through DQ monitoring and reporting automation.
