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Performed data analysis on an ecommerce store using excel.

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Vrinda Store Data Analysis

Obejective:

Vrinda Store wants to create an annual sales report for the year 2022. Vrinda can understand it's customers and grow sales in 2023.

Questions:

  1. Compare the sales and orders using a single chart.
  2. Which month had the highest sales and orders?
  3. Who purchased more Men or Women in 2022?
  4. What are the different order statuses in 2022?
  5. List the top 10 states with the highest sales and the bottom 10 states with the lowest sales.
  6. Which channel is contributing to maximum sales?

Steps Involved:

  1. Data Cleaning - Check whether any null values are present or not, and check for the formats as well.
  2. Data Processing - Create the required columns to achieve the target.
  3. Data Analysis - Analyse the data and create the charts out of it using pivot table.
  4. Interactive Dashboard - Create a dashboard using the charts created using pivot table.
  5. Insights - Share the insights with the clients and the stakeholders.

Insights:

  1. Women are more likely to buy compared to men.
  2. Maharashtra, Karnataka, and Uttar Pradesh are the top 3 states with the highest contribution in sales.
  3. The adult age group (30–49 yrs.) is contributing to maximum growth.
  4. Amazon, Flipkart, and Myntra are the top 3 channels for maximum contribution.

Screenshot:

Vrinda Store Dashboard

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Performed data analysis on an ecommerce store using excel.

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