Data Warehouse and Analytics Project

Welcome to the Data Warehouse and Analytics Project repository! 💡

This project demonstrates a comprehensive data warehousing and analytics solutions, from building a data warehouse to generating actionable insights. Desgined as a portfolio project, highlights industry best practices in data engineering and analytics.

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🚀 Project Requirements

Building the Data Warehouse (Data Engineering)

Objective

Develop a modern data warehouse using SQL Server to consolidate sales data, enabling analytical reporting and informed decision-making.

Specifications

• Data Sources: Import data from two source systems (ERP and CRM) provided as CSV files.

• Data Quality: Cleanse and resolve data quality issues prior to analysis.

• Integration: Combine both sources into a single, user-friendly data model designed for analytical queries.

• Scope: Focus on the latest dataset only; historization of data is not required.

• Documentation: Provide clear documentation of the data model to support both business stakeholders and analytics teams.

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BI Analytics & Reporting (Data Analytics)

Objective

Develop SQL-based analytics to deliver detailed insights into:

• Customer Behavior
• Product Performance
• Sales Trends

These insights empower stakeholders with key business metrics, enabling strategic decision-making.