COURSE OVERVIEW

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Master Data Governance. It covers the role and importance of master data governance; the key concepts and domains and building blocks of master data governance; the elements, roles and responsibilities and lifecycle; the popular data governance frameworks, developing a master data governance strategy and alignment with business strategy and objectives; the importance of data quality in master data governance; the data quality dimensions, data quality management process and metadata management; and the role of metadata in data governance including the tools and techniques for metadata management. 

 

During this interactive course, participants will learn the master data management and the role of data management in data governance; the differences and interactions between MDM and data governance; the data privacy and security concerns and complying with regulations; the role of master data governance in privacy and security; the data governance and MDM tools and the role of AI and machine learning in data governance; the vendor evaluation and selection; planning and implementing a master data governance initiative; the change management strategies for data governance; and measuring success using key performance indicators.