As an Architect evaluating our analytics transformation roadmap, I've identified self-serve analytics as the critical accelerator for our enterprise data strategy. Our current centralized BI bottleneck creates an unsustainable multiple sprints average insight delivery timeline – completely incompatible with modern business velocity.
The proposed architecture implements a three-tier semantic modeling approach:

-- Core Data Layer: Leveraging our lakehouse medallion architecture with materialized views on Gold datasets, structured through domain-driven design principles
-- Semantic Modeling Tier: Implementing metric stores with SQL-based abstraction layers to decouple business logic from physical infrastructure
-- Visualization/Exploration Layer: Deploying governed tools supporting both SQL-fluent analysts and business users requiring GUI interfaces as playground for the data

Performance benchmarks from our POC demonstrate 95% reduction in time-to-insight, with 78% of previously centralized report requests now self-serviced using tools like Sigma, ThoughtSpot. Data mesh principles have been incorporated for domain-oriented ownership, while ensuring central governance through automated quality controls.