
Consistent, well-managed master and reference data form the foundation for trusted decision-making and operational efficiency. Led by Michel Hebert, this course examines the nature and importance of these data types, showing how they provide structure, enhance value, and enable interoperability across complex organizational systems. Real-world examples illustrate their impact on digital transformation and the cultural shifts required for successful implementation.
Covering key principles, management processes, and implementation roadmaps, topics include systems of record, golden records, data validation, enrichment, stewardship, and monitoring. Learners also explore reference data hierarchies, taxonomies, multi-lingual support, and legacy system integration, gaining the skills to propose practical strategies for effective master and reference data management.
Course Highlights
Pricing and Credits
By the End of This Course, You’ll Be Able To:
Why Take This Course?
This course equips learners with practical knowledge to manage master and reference data effectively. It provides the tools and frameworks needed to enhance data consistency, reliability, and organizational value.
Is This Course Right for You or Your Team?
This course is ideal for:
No technical experience is required. This course is designed for business-focused professionals looking to build practical skills in managing master and reference data to support reliable, high-value organizational information.
This Course Includes: