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This an analysis done on the created ETL pipeline and serves as a continuation to the Data Warehouse project using the output data from the gold layer.

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orchaid/SQL_Data_Analytics_Project

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About This Project: Data Warehouse & Data Analytics.

This project builds on the Data Warehouse framework, leveraging the structured data stored within it. It focuses on consuming the views in the gold layer, which serves as the final, refined dataset optimized for analytics. The gold layer data can be seamlessly integrated into BI tools for visualization or used to generate comprehensive reports for further business insights.

Project Scope & Key Components

This repository includes:
Exploratory Data Analysis (EDA) – Understanding the data, identifying trends, and detecting anomalies.
Advanced SQL Analytics – Answering key business and analytical questions using complex SQL queries.
Customer & Product Reports – Structured reports that provide insights into customer behaviors and product performance.

By structuring and analyzing this data, the project enables better decision-making, whether through BI dashboards or direct reporting. 🚀

About

This an analysis done on the created ETL pipeline and serves as a continuation to the Data Warehouse project using the output data from the gold layer.

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