Objective:
- The primary objective of analysing the bicycle shop sales data is to identify key drivers of revenue and profitability, understand customer behaviour, and optimize sales strategies.
- The analysis also aims to identify seasonal trends and market opportunities to enhance overall business performance and growth.
🔧 Process involved :
- Structuring the Dashboard: Started with PowerPoint for layout design, then moved to Excel.
- Pivot Tables & Formulas: Utilized Pivot Tables, along with functions like INDEX-MATCH to display real-time data.
- Visual Enhancements: Added charts like Stacked Columns, Bar Charts, Tree Maps, and Donut Charts for a comprehensive view.
-Interactive Slicers: Integrated slicers for seamless filtering, enhancing data interaction.
📊KPI's:
Total Sales: $118,726,350
Profit: $16,893,702
Profit Percentage: 14%
Profit Value: $1,125,806
Top Selling Product: Product ID PROD_ID_002
Top Customers: CUST_ID_004 with sales of $3,956,873
Sales by Country: Highest in the USA with 16% and lowest in Italy with 9%
Sales by Segment: Government leads with 44%, followed by Small Business (36%).
📊Key insights include:
- Sales and Profit by Month: The highest sales and profit percentage occurred in July (15%) and August (16%).
- Yearly Comparison: A sunburst chart visually compares 2021 and 2022 sales, with a significant increase in 2022.
- Sales by Country: The US leads sales, followed by Germany and France, indicating potential market focus areas.
- Sales by Segment: Government is the most profitable segment, contributing the most to overall sales, which suggests a focus on B2G (Business to Government) strategies.