Coffee Chain Business Dashboard
Introduction
The Coffee Chain Business Dashboard is an interactive Power BI project designed to analyze and visualize critical aspects of a coffee chain's operations. It uses real-time data insights to aid decision-making and optimize business strategies.
The dashboard includes dynamic features such as drill-throughs, slicers, reset buttons, and parameters, offering users a comprehensive understanding of profit distribution, market trends, and inventory management.
Dashboard Highlights
- Interactive Visualizations: Move beyond static visuals and experience real-time insights.
- Customizable Elements: Product-wise profit pie charts, profit vs. inventory scatter plots, dynamic cluster column charts, and date vs. sales combo charts.
Advanced Customizations
- Parameters: Adjust variables for both axes in cluster column charts, enabling detailed comparisons of state, product, and market vs. marketing spend, profit, and sales.
- Drill Through: Access detailed product-specific analyses by selecting any product for insights into sales and profit trends.
- Drill Up-Down: Navigate through hierarchical data, such as days, months, and years, to understand sales trends at different levels of granularity.
- Reset Button: A bookmark-based feature that restores the dashboard to its original state with a single click, ensuring ease of use during exploration.
- Slicers: Filter data dynamically to explore the impact of major and smaller markets on business performance.
Insights and Findings
- States with the lowest profits also exhibit minimal marketing expenditure, indicating the need for targeted marketing strategies.
- Products like Green Tea, Amaretto, and Regular Espresso show significant losses, requiring reevaluation or improvement.
- Sales consistently drop throughout the year, except for a notable peak in July.
Conclusion
This dashboard simplifies the complexities of the coffee business, offering a seamless way to explore data and uncover actionable insights. By leveraging Power BI's advanced features, it empowers users to make informed decisions, driving growth and operational efficiency.