MDM, Master Data Management, Master Data Management in practice

Observera att kursen ges på svenska, men att kursmaterialet är på engelska.

 

Dag 1

 

• Strategic Context: Managing data as an enterprise asset
• Why treat data as an asset?
• Business value.

• The data landscape - Core Concepts & Terminology - Establish shared language & mental models
• Operational systems and data platforms
• Master vs reference vs transactional data
• Data domains & ownership
• Data mesh & data products
• Governance concepts

• Master Data Management Fundamentals
• What MDM is and where it applies
• Goals and objectives of MDM
• Core master data domains & entities
• Golden record & system-of-record patterns
• Centralized vs federated MDM
• Hub & Spoke vs domain-owned models
• Registry / consolidation / coexistence patterns
• People, process, technology

• Business-Centric Data Modeling & Semantics
• Business-oriented information modeling
• Entity & attribute definitions
• Business glossary & catalog

Dag 2

 

• Master Data Governance
• What is data governance and why is it required?
• Governance structures & roles
• Policies, standards & controls
• Operating model design

• Data Quality Management
• Data quality dimensions
• Measurement & KPIs
• Quality rules & controls
• Preventive vs corrective approaches

• Supporting technologies
• What are the leading MDM systems
• Make or buy
• MDM tools
• Data quality tools
• Data catalog tools
• Governance tools

• Transformation Journey & Roadmap
• How MDM is implemented
• As-Is assessment
• To-Be definition
• Roadmap & prioritization
• KPIs & success metrics

Kontakt

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