End-to-End Data Warehousing Analysis: Leveraging CTEs, Window Functions, and SQL Views
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Project Highlights:
This page provides an executive summary of the analysis. For the complete code, step-by-step data cleaning, and detailed statistical modeling, please refer to the Full Project Links at the bottom of this page.
Technical Implementation Strategy
Data complexity was managed using Common Table Expressions (CTEs) and Subqueries to break down intricate business logic into efficient modules. Time-series trend analysis and cumulative calculations were then executed using advanced Window Functions.
As a final step, all aggregation and segmentation logic was encapsulated into Permanent SQL Views
(customer_report
and
product_report).
This approach streamlines future data retrieval by consolidating all critical insights into a single, centralized output table ready for access.
📄 Source Code: SQL Analysis Logic
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