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AI-Powered Global Sales Analytics Dashboard

Overview

The AI-Powered Global Sales Analytics Dashboard is a comprehensive business intelligence solution developed using Power BI. It provides a clear, interactive, and strategic view of global sales performance from 2023 to 2024. The dashboard helps stakeholders track key performance indicators (KPIs), analyze regional sales patterns, monitor customer behavior, and uncover actionable insights to improve business growth and profitability.

This project demonstrates the effective use of data cleaning, DAX calculations, and visualization techniques to transform raw sales data into a powerful decision-support system.


Key Features

  • Year-over-Year global sales analysis
  • Region and country-wise performance monitoring
  • Category and product-level performance metrics
  • Dynamic filtering by segment, category, country, and sales year
  • Cleaned dataset and raw transaction data for full pipeline transparency
  • AI-driven patterns and deep sales forecasting capabilities

Tools & Technologies

  • Power BI
  • Power Query (M Language)
  • DAX (Data Analysis Expressions)
  • Microsoft Excel
  • CSV Data Files
  • Google Drive (for external file hosting)

Project Files


Interactivity

07_Interactivity.mp4: Watch/Download Video


Project Assets

  • Google Drive Link (Dataset, PBIX File, Presentation and Documentation):
    Access Here

How to Use

  1. Download the .pbix file and datasets from the links above.
  2. Open the dashboard file in Power BI Desktop.
  3. Explore the interactive visualizations.
  4. Apply filters and slicers to generate specific insights by region, year, or product category.
  5. Use this as a reference for business analysis, sales performance reviews, or as part of a data portfolio.

Contact


License

This project is intended for educational and portfolio purposes only. All data is mock or anonymized and used solely to demonstrate data analytics and dashboard development skills.

About

End-to-end Power BI and AI solution for global sales insights, forecasting, performance tracking, and data-driven business decisions.

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