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Analyzed Data By Creating Interactive Dashboard Using MS Excel

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pratiksha521/Vrinda-Store-Data-Analysis

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Vrinda-Store-Data-Analysis

Project objective

The Vrinda Store wants to create an annual sales report for 2022. So that, the owner of the Vrinda store can understand their customers and grow more sales in 2023.

Questions (KPIs)

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

Data Cleaning and processing

  • Verify data for any missing values and anomalies, and sort out the same.
  • Made sure data is consistent and clean with respect to data type, data format and values used.
  • Create additional column like Age Group and Month required for data analysis.
  • Created pivot tables and Charts according to the questions asked.
  • All charts created using pivot tables merge into one dashboard and apply slicer to make dashboard interactive and dynamic.

Dashboard

Screenshot (11)

Project Insight

  • Women customers are more likely to buy compared to men (~65%)
  • The states of Maharashtra, Karnataka and Uttar Pradesh are the top 3 states (~35%)
  • The Adult age group (30-49 yrs) is max contributing (~50%)
  • The maximum number of products customer orders from Amazon, Flipkart and Myntra channels.

Final Conclusions:

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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