Unify customer data enterprise-wide

Enterprise customer-data unification is presented as a systems challenge rather than the creation of a single “golden record,” requiring a governed identity graph, shared event contracts, appropriate freshness levels, consent propagation, and access methods tailored to marketing, product, finance, legal, and analytics needs. The source argues that stable internal IDs, auditable merge histories, deterministic and probabilistic identity links, append-only event streams, and consistent time definitions help prevent duplicated metrics, stale records, compliance failures, and untrusted warehouse tables. Warehouses such as Snowflake and BigQuery are described as effective for cross-domain historical analysis and governance but less suited to low-latency product experiences, frequent audience refreshes, and high-concurrency customer-facing dashboards, which may require separate serving layers and APIs. It recommends defining event ownership and data classifications, treating segment definitions as reviewed code, supporting deletion events, and separating account and user identities for B2B use cases. Tinybird is positioned as a managed ClickHouse-based serving layer that can expose governed SQL-backed endpoints over unified event data, while not replacing CRM systems or data warehouses.

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