Deploy
Deployment Phases
- Phase 1 – Strategy & Planning: Establish the business vision, scope, and initial domains. Secure executive sponsorship and form a governance council.
- Phase 2 – Use Case & Tool Selection: Prioritize use cases and evaluate tools based on domain fit, integration capability, and scalability.
- Phase 3 – Data Assessment & Modeling: Perform data profiling, define business rules, and create conceptual/logical models.
- Phase 4 – Implementation & Integration: Configure MDM hub, integrate with source and consuming systems, and conduct data load and cleansing.
- Phase 5 – Stewardship & Governance: Operationalise stewardship workflows, data ownership, and quality dashboards.
- Phase 6 – Rollout & Expansion: Deploy additional domains, connect downstream systems, and expand data democratization tools like catalogs.
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Resource
Key Roles and Resources
- Chief Data Officer / Data Governance Lead: Sets vision and ensures alignment with business priorities.
- Data Stewards: Manage data quality and ownership at the domain level.
- Data Architects: Design scalable models and data integration patterns.
- MDM Developers: Configure tools, match/merge rules, and data pipelines.
- Change Managers: Lead training, adoption, and communications plans.
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Success
Best Practices for Success
- Start small with high-impact domains and expand iteratively.
- Ensure clear business ownership and stewardship accountability.
- Design for reusability—conformed models, shared definitions, and modular APIs.
- Establish continuous data quality monitoring and improvement loops.
- Integrate MDM governance into enterprise data governance frameworks.
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