An effective data governance system will transform your data into a strategic, reliable resource with emphasis on quality, transparency and compliance with legislation.
Common Challenges Our Clients Have Faced – And We’ve Helped Solve
Building an effective data management
system across the organisation
Establishing a data strategy to support
business goals and long-term growth
Ensuring data quality and trustworthiness
for critical decision-making
Managing the data lifecycle
Implementing data governance in line with applicable regulations (e.g. GDPR, the EU AI Act)
Introducing metadata management
and data lineage
Defining data roles and responsibilities
across the organisation
Securing data and setting up access controls
How We Help
References
Implementation of Selected Data Governance Capabilities
For a financial-sector client, KPMG designed a comprehensive data governance framework aligned with data-management and security regulations, implemented data steward roles, set up data-quality processes and built automated regulatory reporting.
Analysis of Data Inputs for Internal Management Reporting
For a retail client, KPMG mapped reporting data sources, established a unified data taxonomy, analysed differences in internal and external reporting of performance KPIs, and proposed report consolidation and improved data workflows and interpretation.
System and Database Migration
During a migration of core systems and databases, KPMG helped ensure data reporting consistency across two systems and flawless data transfer into the new database.
