This project presents a comprehensive sales analytics dashboard for a chocolate manufacturing company. The dashboard visualizes key sales metrics across multiple dimensions—time, geography, and sales personnel—to support data-driven decision-making.
• Database from (Kaggle)
• Data visualization tool ( Microsoft Power BI )
• Data aggregation and cleaning ( Microsoft Excel, Python Programming Language)
- Monthly Sales Trend
• Tracks Sum of Amount from January to August.
• Sales peak in January (900K) and gradually decline toward August (740K).
• Highlights seasonality and potential end-of-year slowdown.
- Sales by Country
• Compares sales performance across Australia, UK, India, USA, Canada, and New Zealand.
• Australia leads with (1.14M), followed closely by the UK (1.05M).
• Useful for regional strategy and market prioritization.
- Sales by Sales Person • Ranks individual performance, from Chess Bonneil (321K) down to Wilone (139K).
• Enables identification of top performers and those needing support or training.
• Provides clear visibility into monthly revenue patterns
• Supports geographic expansion decisions
• Facilitates sales team performance reviews and incentive planning
• Helps identify seasonal trends for inventory and marketing alignment