This project consists of an excel dashboard on the Super Store "STYLORE" data. Concepts like Excel functions, Pivot Tables, Excel charts, etc were used in this.
The STYLORE Store wants to create an annual sales report for 2022. So that, the owner of the store can understand their customers and grow more sales in 2023.
The first tab of the excel file contains the dashboard which displays various charts and vizuals. The second tab of the file has the report containing data. Rest of the tabs have additional information referring the data in the second tab.
- 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?
- 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.
- Created pivot tables according to the questions asked.
- Merge all pivot tables into one dashboard and apply slicer to make dashboard interactive and dynamic.
- 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.
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.
LinkedIn : www.linkedin.com/in/vishakha-dongre-6b0126203
Email : dvishakhadongre211@gmail.com
Thank you!