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🚚 "SuperStore" Sales Dashboard

💡 Project Description

The dashboard utilizes sales data spanning two years to offer insightful visualizations and predictive tools, enabling the identification of sales trends.

Tech Stack Used

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PowerBI

🛠️ Skills showcased in this Project

  • Data Extraction
  • Data Cleaning
  • Data Transformation
  • Data Visualization

📅🔍 Project Approach

  • Connecting with datasources and shaping data in Power Query.
  • Data Cleaning in Power Query.
  • Creating calculated columns and measures using DAX formulas.
  • Designing interactive dashboard for visualisation.
  • Sales Forecasting

🧠💡 Key Insights

💳 Sales by Payment Mode: Cash on Delivery (COD) continues to lead the pack, closely trailed by online transactions and card payments.

🏢 Sales by Segment: Our sales hierarchy is defined by Consumer purchases taking the lead, followed by Corporate and Home Office transactions.

🌍 Sales by Region: The West region emerges as our powerhouse, outperforming East, Central, and South regions consistently.

🚚 Sales by Ship Mode: Standard Class deliveries are the most popular choice, followed by Second Class, First Class, and Same Day shipments.

📦 Sales by Category: Phones, Chairs, and Binders dominate our sales categories, showcasing strong market demand.

📚 Sales by Sub-category: Office Supplies, Technology, and Furniture sub-categories exhibit varying consumer preferences, providing valuable insights for inventory management.

📆 High Sales Months: September, November, and December witness a surge in sales activity, highlighting potential seasonal trends and opportunities for targeted marketing.

💰 Profit Peaks: March, October, and December stand out as our most profitable months, emphasizing the importance of strategic planning during these periods.

📸 Data Visualisation

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📊 Project Learnings:

  • 📈 Created an interactive dashboard for online sales data tracking and analysis.
  • 🔍 Utilized complex parameters for in-depth analysis through worksheets, enhancing customization via filters and slicers.
  • 🔄 Established connections, incorporated new tables, and applied calculations to manipulate data, facilitating user-driven parameters for visualizations.
  • 📊 Employed various customized visualizations including bar charts, pie charts, donut charts, clustered bar charts, scatter charts, line charts, treemap and slicers for comprehensive insights.
  • 🎯 Sales Forecasting

End

Thank you for your interest and time. Feel free to give your valuable suggestions and connect with me on https://www.linkedin.com/in/harshitt-gahlaut/

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This is a PowerBI sales dashboard for a "SuperStore".

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