How do you implement customer 360 platforms and unified customer profiles?

Customer 360 creates a single, comprehensive view of each customer across all interaction channels and systems. Architecture: data ingestion (collect customer data from CRM, marketing, support, billing, website, mobile app, social media, and third-party sources), identity resolution (match records across systems to the same individual), profile unification (merge data into a single canonical profile), activation (make unified profiles available to all customer-facing systems), and analytics (derive insights from the complete customer view). Identity resolution: deterministic matching (exact match on email, phone, or customer ID), probabilistic matching (fuzzy match on name, address, behavioral patterns using ML), and graph-based resolution (connect identities through shared devices, households, or accounts). Implementation: define the canonical customer schema (demographics, preferences, behavior history, lifetime value, segment membership, engagement scores), implement incremental profile updates as new data arrives, handle conflicting data with source priority rules (CRM overrides marketing platform for contact info), and maintain profile change history for audit. Data sources: CRM (contact info, deal history, activities), marketing (campaigns, engagement, attribution), support (tickets, satisfaction scores, issue history), product (feature usage, session data, preferences), billing (subscriptions, payments, invoices), and web/mobile (visit patterns, search queries, click behavior). Activation: expose unified profiles via API for real-time access, sync relevant profile data to downstream systems (personalization engine, support tool, marketing platform), and implement webhook notifications for significant profile changes. Privacy: implement consent management across channels, respect data subject rights (access, deletion, portability), apply data minimization (store only necessary data), and maintain processing records for GDPR compliance. Technology: customer data platforms (Segment, mParticle, RudderStack) or custom-built using Supabase with proper schema design and real-time subscriptions.