Data Management & Data Governance for Business Growth
e: thompson.stephen.r@gmail.com c: (650) 898-2888
1. MDM Strategy & Roadmap
Best for: Organizations struggling with fragmented customer data across CRM, ERP, and downstream systems
What I deliver:
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Current-state assessment of customer/party data across systems and processes
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Target-state MDM architecture and operating model (business-led, tool-agnostic)
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Party model design (HCP/HCO/B2B as applicable)
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Match/merge rule requirements based on your business needs
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Phased implementation roadmap aligned to business priorities
Typical duration: 6-8 weeks
Business outcomes:
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Implementation ready plan
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Clear, executable roadmap (not a theoretical strategy)
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KPIs for measuring success
3. Rapid Data Assessment (Executive Diagnostic)
Best for: Leaders who need a fast, objective view of their data maturity and risks
What I deliver:
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2–3 week diagnostic across MDM, governance, data quality, and architecture
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Stakeholder interviews across business and IT
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Maturity assessment and gap analysis
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Executive-ready findings and recommendations
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Prioritized action plan
Typical duration: 2-3 weeks
Business outcomes:
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Clear understanding of current data risks and gaps
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Executive alignment on priorities
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Immediate next steps with defined ROI
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Low-cost entry point before larger engagements
2. MDM / Data Platform Implementation Oversight*
Best for: Companies implementing MDM or data platforms that need strong business alignment and delivery leadership
What I deliver:
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Product ownership / program leadership for MDM or data initiatives
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Backlog definition (epics, features, user stories) aligned to business value
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Vendor coordination and delivery oversight
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KPI definition and value tracking
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Risk and dependency management
Typical duration: 3-9 months (aligned to program phases)
Business outcomes:
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Strong alignment between business goals and technical delivery
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Avoid “over-engineered” or stalled implementations
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Faster time-to-value from data investments
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Reduced rework and wasted spend
* Requires "MDM Strategy & Roadmap" deliverable noted above or equivalent
4. Data Governance Assessment & Recommendations
Best for: Organizations that suspect gaps in data governance, quality, or accountability—but need a clear, objective path forward
What I deliver:
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Current-state assessment of data governance across people, process, and technology
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Review of existing policies, standards, and procedures (if available)
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Evaluation of data ownership, stewardship, and accountability models
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Assessment of data quality management and issue resolution processes
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Maturity scoring across governance domains (aligned to industry best practices)
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Identification of key risks (e.g., compliance, operational, reporting)
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Prioritized recommendations with a practical, phased improvement plan
Typical duration: 4 weeks
Business outcomes:
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Clear understanding of governance gaps and risks
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Executive-ready view of current maturity and future state
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Actionable, right-sized roadmap (not over-engineered)
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Alignment across business and IT on governance priorities
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Confidence to move forward with governance, MDM, or data initiatives