Welcome to the Data Warehouse and Analytics Project repository! This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project to highlight industry best practices in data engineering and analytics.
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Develop a modern warehouse using SQL Server to consolidate sales data, enabling analytical reporting and informed decision making.
- Data Sources: Import data from two source systems (ERM 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.
- Script: 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.
Develop SQL-based analytics to deliver detailed insights into: -Customer Behaviour -Product Performance -Sales Trends
These insights empower stakeholders with key business metrics, enabling strategic decision-making.
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This project is lincesed under MIT License. You are free to use, modify, and share this project with proper attribution.
Hi there! I am Samwel Njogu Mwaniki a data engineering enthusiast an a mission to showcase my skillset to businesses and individuals to enable proper decision-making.