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Are you ready to unlock the power of data visualization and gain valuable insights into your sales performance? Look no further! In this , we will dive into the exciting world of building a sales dashboard in Power BI for the Superstore dataset. Get ready for an interactive and visually engaging experience! 🚀🔎

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DataAsh21/Superstore_Analysis

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Superstore_Analysis

Power BI provides a robust platform for analyzing sales data, and the Superstore dataset is the perfect playground for exploring its capabilities. With the click of a button, you can dive into a world of colorful charts, tables, and emojis that bring your sales data to life. 📊💡🎨

Problem Statement:

Build a Sales Analysis, Manager dashboard, Return Analysis, Product Analysis, Shipping Analysis, and Performance Dashboard.

Data:

Data Source: Superstore dataset from https://github.com/DataAsh21/Superstore_Analysis/blob/main/Superstore%20data.xlsx

Dashboards:

Overview of Dashboard:

Screenshot 2023-06-23 184201

The sales department can analyze sales and profit through this dashboard.

  • Filter through years and quarterly sales.
  • The company has made a Total Sales of 12.6 million and a Total Profit of 1.5 million between 2011- 2014.
  • 4.3 million worth of sales and 0.5 million profit was made in 2014.
  • 45.23% of profit came from product category technology.

Screenshot 2023-06-22 200105

Manager Dashboard:

  • Across all metrics, Allen Discount had the most interesting recent trend and started trending up on 2011, rising by 105.28% (760.38) in 3 years.
  • Allen sales and total Allen Profit are negatively correlated with each other.
  • Office Supplies had the highest Allen Returns at 522, followed by Furniture and Technology, which tied for second at 274.
  • Across all metrics, Anoop sales had the most interesting recent trend and started trending up in 2011, rising by 80.01% (7,15,697.18) in 3 years.
  • Anoop sales and total Anoop Profit are positively correlated with each other.
  • Office Supplies had the highest Anoop-Returns at 376, followed by Technology at 192 and Furniture at 189.
  • Across all metrics, Natalia Discount had the most interesting recent trend and started trending up in 2011, rising by 94.20% (56.56) in 3 years.
  • Natalia's sales and total Natalia Profit are negatively correlated with each other.
  • Office Supplies had the highest Natalia-Returns at 50, followed by Furniture at 23 and Technology at 20. Screenshot 2023-06-22 202956

Product Analysis Dashboard:

  • This dashboard dive deep into product categories, quantity ordered, product- subcategory
  • The highest amount of office supplies have been ordered in terms of quantity.
  • At 1,102.48, Binders had the highest Total Discount and were 343.30% higher than Appliances, which had the lowest Total Discount at 248.70.
  • November in Category made up 4.58% of Total Sales. Screenshot 2023-06-23 184008

Shipping Analysis Dashboard:

  • 60% of the orders have Standard shipping mode and the lowest preferred is same-day shipping.
  • 43.54% of Orders with critical order priority have been ordered by first class ship mode.
  • 100 % of the orders with low priority have been ordered through the standard class.
  • APAC markets have the highest shipping cost, followed by the EU and US. Screenshot 2023-06-23 184037

Return Analysis Dashboard:

  • Office Supplies had the highest total Total Returns at 962, followed by Technology at 490 and Furniture at 487. * November in Category made up 6.40% of Total Returns.
  • LATAM had the highest Total Returns at 299, followed by US, APAC, and EU.
  • At 292, Binders had the highest Total Returns and was 363.49% higher than Tables, which had the lowest Total Returns at 63. Screenshot 2023-06-23 184116

Performance Dashboard:

Screenshot 2023-06-23 184136

About

Are you ready to unlock the power of data visualization and gain valuable insights into your sales performance? Look no further! In this , we will dive into the exciting world of building a sales dashboard in Power BI for the Superstore dataset. Get ready for an interactive and visually engaging experience! 🚀🔎

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