วันที่ 1

9.00 - 12.00

• Introduction to Data Management Maturity Assessment (DMMA)
• Maturity Assessment : Business Driverso
• Why is assessing data management maturity importanto
• Assessment Levels and Characteristics
• Key Activites for Assessment
• Communicating and Utilizing the assessment results
• Continuous improvement and benchmarking data management maturity
• Case studies
• Existing DMMA Model and their Comparison

13.00 - 16.00

• DAMA-DMBOK2
• Recap DAMA components and their metrics
• Data Governance
• Data Architecture and Enterprise Architecture
• Data Modeling
• Data Operation
• Data Integration– Documents and Contents
• Data Security and Privacy
• Master Data and Reference Data
• Metadata
• Data Quality
• Data Warehousing and Data Lakeo Assessment methodology and required evidienceo How to visualize, interpret, communicate, and benchmark results
• CMMI Data Management Maturity (DMM)
• DMM Components
• Data Management Strategy
• Data Governance
• Data Quality
• Data Operations
• Platform and Architecture
• Suporting Processo Assessment methodology and required evidienceo How to visualize, interpret, communicate, and benchmark results

วันที่ 2

9.00 - 12.00

• Data Management Capability Assessment Model (DCAM)
• DCAM Components
• Data Strategy and Busines Case
• Data Management Program and Funding
• Business and Data Architecture
• Data and Technology Architecture
• Data Quality Management
• Data Governance
• Data Control Environment
• Analytics Managemento Assessment methodology and required evidienceo How to visualize, interpret, communicate, and benchmark results

• 13.00 - 16.00

• Thailand’s Models
• DGA Model
• SE-AM Modelo Assessment methodology and required evidienceo
• How to visualize, interpret, communicate, and benchmark results