A complete SQL analytics project using a simulated data warehouse. It analyzes sales, customer, and product data with CTEs, joins, window functions, subqueries, and views to deliver insights on trends, segmentation, and KPIs, showing how SQL enables data-driven decisions without BI tools.
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A complete SQL analytics project using a simulated data warehouse. It analyzes sales, customer, and product data with CTEs, joins, window functions, subqueries, and views to deliver insights on trends, segmentation, and KPIs, showing how SQL enables data-driven decisions without BI tools.
piyushkumar2025/Analytical-SQL-Project-Exploring-Trends-Segmentation-KPIs
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A complete SQL analytics project using a simulated data warehouse. It analyzes sales, customer, and product data with CTEs, joins, window functions, subqueries, and views to deliver insights on trends, segmentation, and KPIs, showing how SQL enables data-driven decisions without BI tools.
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