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Analyzed data of Vrinda Store by creating interactive dashboard Using Microsoft Excel.

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Vrinda Store Data Analysis

Vrinda Store wants to create an annual sales report for 2022 so that Vrinda can understand its customers and increase sales in 2023.

Skills

  • Microsoft Excel

Dataset

Questions

  • Compare the sales and orders using single chart.
  • Which month got the highest sales and orders?
  • Who purchased more - Men or Women?
  • What are different order status in 2022?
  • List top 10 states contributingto the sales?
  • Relation between age and gender based on number of orders.
  • Which Channel is contributing maximum to the sales?
  • Highest selling category?

Dashboard

Insights

  • Women customers are more likely to buy products compared to men (~65%).
  • The states of Maharashtra, Karnataka and Uttar Pradesh are the top 3 product buyers.
  • The adult age group (30-49 yrs) is max contributing (~50%) and buys the most products.
  • The maximum number of products customer orders from Amazon, Flipkart and Myntra channels.

Conclusion:

To improve sales of Vrinda Store, women customers of the age group (30-49 yrs) living in Maharashtra, Karnataka and Uttar Pradesh must be targeted by showing ads/offers/coupons available on Amazon, Flipkart and Myntra.

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Analyzed data of Vrinda Store by creating interactive dashboard Using Microsoft Excel.

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