Customer Data Platform Implementation Strategy

Act as a customer data architecture consultant. Create a comprehensive CDP implementation strategy for [COMPANY NAME].

Context:
- Company: [NAME, INDUSTRY, SIZE]
- Current data sources: [LIST ALL SYSTEMS WITH DATA TYPES]
- Number of customer touchpoints: [LIST]
- Current customer database size: [NUMBER]
- Monthly new customer records: [NUMBER]
- Data privacy requirements: [LGPD / GDPR / CCPA / OTHER]
- Budget range: $[AMOUNT]
- Technical team: [DESCRIBE CAPABILITIES]

Deliver the following:

1) **Current State Assessment**:
   - Data silo inventory (system, data type, volume, quality score)
   - Identity resolution challenges (how customers are identified across systems)
   - Data quality issues (duplicates, missing fields, outdated records)
   - Privacy and consent management gaps
   - Integration complexity assessment

2) **CDP Requirements Definition**:
   - Must-have features (unified profiles, segmentation, activation, analytics)
   - Nice-to-have features (predictive scoring, journey orchestration, AI recommendations)
   - Integration requirements (APIs, webhooks, batch imports)
   - Data retention and governance requirements
   - Scalability requirements

3) **Platform Evaluation Framework**:
   - Comparison criteria for CDP vendors (Segment, mParticle, Tealium, ActionIQ, etc.)
   - Build vs. buy analysis
   - Scoring matrix with weighted criteria
   - Total cost of ownership estimation (licensing, implementation, maintenance)

4) **Implementation Roadmap**:
   - Phase 1 (Months 1-2): Data audit, requirements finalization, vendor selection
   - Phase 2 (Months 3-4): Data integration, identity resolution setup
   - Phase 3 (Months 5-6): Segmentation, activation, testing
   - Phase 4 (Months 7-8): Advanced features, optimization, training
   - For each phase: deliverables, resources needed, success criteria, risks

5) **Identity Resolution Strategy**:
   - Deterministic matching rules (email, phone, user ID)
   - Probabilistic matching approach (device, behavior, location)
   - Conflict resolution rules
   - Privacy-compliant consent management

6) **Use Case Prioritization**:
   - Top 5 marketing use cases enabled by the CDP:
     - For each: description, business impact, complexity, priority
   - Quick wins (achievable within 30 days of go-live)
   - Long-term capabilities (6-12 months post-implementation)

7) **Success Metrics**:
   - Data quality metrics (profile completeness, match rate, freshness)
   - Marketing impact metrics (personalization rate, campaign performance lift, customer satisfaction)
   - Operational metrics (time to segment, time to activate, data processing latency)
   - ROI calculation methodology