This introductory level course provides students with a high level understanding of Master Data Management. Master Data refers to having a single copy of a data record for an organization to ensure that the proper data quality measures are in place. Master data also ensures consistency of reporting across all multiple lines of business within an organization.
This course highlights key Master Data Management concepts, methodologies, and processes including definitions, examples, common master data challenges, architecture considerations, types of master data projects, the data mastering process, and matching and merging techniques. The course also touches on best practices of master data storage within a repository structure.
The main items explained in this course include:
What are the main concepts of Master Data
What are the main concepts of Master Data Management
What are the Master Data Management challenges within organizations
What are the main Master Data Management architectures
What you’ll learn
Understand the concepts of Master Data
Understand the concepts of Master Data Management
Describe Master Data Management challenges
Explain the Master Data Management architecture
Are there any course requirements or prerequisites?
A basic understanding of enterprise data management
Who this course is for:
Data Stewards
Business Intelligence professionals
Data & Analytics experts
