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Develop a comprehensive BI solution to enhance sales analysis and decision-making for Adventure Works Cycles.

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Business Intelligence Solution for Sales Module of Adventure Works Cycles

Project about Business Intelligence at UEL

Table of content

Objective

Develop a comprehensive Business Intelligence (BI) solution to enhance sales analysis and decision-making for Adventure Works Cycles.

Key Features

  • Data Warehouse: Consolidates and organizes sales data for better accessibility and analysis.
  • Data Visualization: Utilizes Power BI to create interactive dashboards and reports.
  • Sales Analysis: Provides insights into sales trends, performance metrics, and customer segmentation.

Technologies Used

  • SQL: For data extraction, transformation, and loading (ETL) processes.
  • Power BI: For data visualization and interactive report generation.
  • SSIS, SSAS: For structured and efficient data storage and created DW.

Installation and Setup

  1. Clone the Repository:

    git clone https://github.com/yourusername/AdventureWorksBI.git
  2. Set Up Database:

  • Import the provided SQL scripts to set up the Adventure Works Cycles database.
  • Ensure your SQL Server is properly configured and running.
  1. Load Data into Data Warehouse:
  • Execute the ETL scripts to load sales data into the data warehouse.
  • Verify that the data is correctly imported and structured.
  1. Configure Power BI Reports:
  • Open the Power BI Desktop.
  • Load the Power BI project file (.pbix) provided in the repository.
  • Connect the Power BI reports to your SQL Server database.

Usage

  • Open the Power BI Desktop and navigate to the loaded project file.
  • Refresh the data to ensure the latest information is displayed.
  • Explore the interactive dashboards and reports to gain insights into sales performance and customer behavior.

Outcomes

  • Actionable Insights: Delivered through interactive dashboards, improving strategic planning and operational efficiency.
  • Improved Decision-Making: Enabled by detailed sales analysis and customer segmentation.

sales performance customer segmentation demographic product period

Resource

Dataset Advanture Work

License

This project is licensed under the MIT License - see the LICENSE file for details.

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