This white paper explains how Analytics Platform Automation (APA) streamlines the design, development, deployment, and operation of data warehouses, data lakes, and lakehouses. It positions automation as a response to rising complexity, technical debt, and slow delivery in traditional analytics platforms. The paper outlines key use cases—prototyping, agile data warehousing, migration, re-architecting, and retroactive documentation—and details benefits such as faster delivery, improved data quality, reduced costs, and lower operational risk. Real-world case studies show how automation dramatically shortens modernization timelines while preserving existing KPIs and business logic.

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