This project illustrate a brief and comprehensive data warehousing and analytics solutions, from zero to data warehousing and from data warehouse to create actionable , useful insights, create a portfolio project highlights industry best practices in data analytics.
####Project Requirements
##Building the data warehouse (data engineering)
##Objectives
develop a modern data warehouse using sql server to consolidate sales data, enabling analytical reporting and informed decision making.
Data Sources : import data from two source systems ( ERP and CRM) provided As CSV files. Data quality : cleansed and resolve data quality isuues prior to analytics. Integration : combine both sources into a single , user friendly data model designed for analytical queries. Scope : focus on the latest data set only , historization of data is not required. Documentation : Provided clear documentation of the data model to support both business stakeholders and analytics teams.
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Objectives develope SQL based analytics to deliver detailed insights into: Customer behaviour product performance sales trends
these insights empower stakeholders with my business matrics enabling strategic decision making.
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This project is learned under the MIT Licence . you are free to use , modify and share this project with proper attribution.
This is me Muhammad Shah . I am a student of information technology, and i am a data analyst , i have created a lot of projects .i Create this project with the help of 30% and the rest of the project was so complex but i did it. it helps me a lot , i learned a lot , i gain experienced