What is the goal layer when building dimensions? Suppose we have an e-commerce company that sells products on Flipkart.

In a data warehouse, the goal layer—often called the "gold" or "business" layer—contains fully integrated, cleansed, and business‑ready data ready for analysis. When building dimensions for an e‑commerce company selling on Flipkart, the goal layer would host fact tables such as sales, returns, and inventory, linked to dimension tables like Customer, Product, Time, and Channel. The dimension tables are enriched with derived attributes (e.g., customer lifetime value, product category hierarchy) and are designed for fast query performance using star or snowflake schemas. The ETL process moves data from raw sources (bronze), cleanses and enriches it (silver), and finally loads it into the goal layer. This layer supports reporting, dashboards, and advanced analytics, ensuring that all stakeholders work from a single source of truth.