Approach:

Through 2 weeks of workshop sessions with key stakeholders, Adastra will:

• Define a master data management (MDM) strategy
• Ensure high-quality master data
• Define target MDM solution architecture
• Define MDM solution implementation roadmap
• Define master data governance roadmap

Scope:

• Limited to 1 line of business
• Duration: 6-8 Weeks

Assumptions/Dependencies:

• Business SMEs at the client’s organization must be available and engaged
• Access to documentation must be available
• The MDM business case must be established before the engagement

Client Requirements:

• Business SME availability

Next Steps:

• MDM implementation

Activities:

• Review current overall system architecture and landscape
• Review and document key objectives, pain points and anticipated benefits
• Define and validate high-level required MDM solution, governance and business capabilities, including master data quality
• Define master data domain, system, functional and integration scope and prioritization
• Define MDM, master data quality and master data governance strategy and implementation approach
• Define, review and validate high-level solution architecture, Including all key components,data repositories and interfaces
• Define, review and validate MDM and governance implementation roadmap including timelines and prioritization
• Assess AWS Glue Data Quality with the Data Catalog

Deliverables:

• Key objectives, issues and anticipated benefits of MDM
• High-level required MDM solution, governance and business capabilities
• Master and reference data domain scope and prioritization
• MDM strategy, high-level solution architecture and implementation approach, including master data quality management
• AWS MDM and governance implementation roadmap including timelines and prioritization
• Phase 1 implementation plan and resource estimate
• DQ and MDM vendor technology shortlist

Outcomes:

• A MDM strategy and roadmap
• Implementation effort and resource estimates
• A ready-to-use MDM