This Coffee Sales Dashboard project showcases my expertise in building business intelligence solutions using Power BI to provide real-time insights into sales performance, customer behavior, and product segmentation across multiple years, regions, and roast types.
As visualized in the image above, the dashboard is built to give stakeholders, executives, and marketing teams a clear and interactive view of the companyβs performance metrics β broken down by time, geography, product types, and customer segments.
- Real-Time Business Monitoring: Designed to give decision-makers a holistic overview of sales trends.
- Customer-Centric Insights: Identifies Top 5 high-value customers and their contributions to revenue.
- Product Intelligence: Tracks performance of four coffee types β Arabica, Excelsa, Liberica, and Robusta β helping in SKU optimization and inventory planning.
- Geographic Targeting: A clear country-based breakdown (US, UK, Ireland) helps refine regional strategy and logistics.
- Marketing Analytics: Integration of loyalty card filters and packaging size shows potential areas for upselling and retention strategy.
- π Order Date Slicer for year-over-year comparisons
- β Roast Type, Size, Loyalty Filters for segment drilldowns
- π Total Sales Over Time (monthly breakdown)
- π Sales by Country β Pie chart view of market share
- π§βπΌ Top 5 Customers β Bar chart highlighting high-value accounts
- The United States commands over 75% of total sales, positioning it as the brandβs dominant market.
- Arabica and Robusta are top performers in revenue across all months.
- February, May, and October show peak sales, signaling promotional opportunities.
- Allis Wilmore and Brenn Dundredge are top customers, representing consistent purchase behavior valuable for loyalty programs.
- Power BI Desktop β Dashboard design, DAX, and storytelling
- Power Query β ETL and data prep
- Excel β Base data formatting
- Dynamic Filters & Slicers β For user-driven exploration
- π§© Data Modeling & Relationship Mapping
- π Time-Series Sales Analysis
- π Customer Segmentation
- π― Performance Benchmarking
- π§Ό Data Cleaning & Transformation
- π£ Insight Communication & Reporting
I'm a Data Analyst & Data Scientist passionate about using analytics to improve business outcomes. This dashboard demonstrates my ability to not only design compelling visuals but to generate insights that drive real decisions.
π¬ Letβs connect:
- LinkedIn: Tosin Bello
- Email: [email protected]
