Master Data Management
About Master Data Management
To assure the consistency, correctness, stewardship, semantic consistency, and accountability of the enterprise's official shared master data assets, business, and information technology collaborate in a discipline known as master data management. The names, phone numbers, and addresses of customers are prime examples of master data. Although less prone to change, this data must occasionally be updated when a client moves or changes their name.
Why is Master Data Management important?
According to Harvard Business Review Analytic Services, 87% of executives believe that increased data quality, efficient decision-making, and future performance depend on having a good MDM program. MDM enables businesses to recognize issues and find solutions to improve client experiences. It can get rid of the complicated and unmanageable data structure.
Top management of a company can use this to avoid using fragmented, confusing, and inconsistent data and instead base judgments on "real information data."
Who should take the Master Data Management Exam?
- Businesses
- Management looking for a one-stop-shop for access to all critical data.
- IT professionals searching for data management benefits and approaches.
Master Data Management Certification Course Outline
- Definition of Master Data
- Business Intelligence
- Data Warehousing
- Enterprise Resource Planning
- Master Data Management
- MDM and SOA
- Master Data Management Applications
- Data Quality in MDM
- Benefits and Importance of MDM
- Challenges in MDM
- Classifications of Information
- Types of Master Information
- Approaches to Master Data Management
- Introduction to MDM Maturity Model
- Levels of MDM Maturity
- Building Blocks of MDM
- Vision
- Strategy
- Metrics
- Information Governance
- Organization and Roles
- Information Lifecycle
- Enabling Infrastructure
- MDM Component Layer Model
- Architecture
- Governance
- Management
- Identification
- Integration
- Business Process Management
- Introduction to MDM Myths