☕ Analyzing Coffee Shop Revenue Trends with Power BI 📊 by Kelvin Rowan
This dashboard was created by Kelvin Rowan, a LearnPowerBI Member.
Kelvin’s Power BI dashboard takes a deep dive into six months of coffee shop sales data across three New York locations—revealing how even small businesses can unlock powerful insights from everyday transactions. His analysis focuses on identifying patterns in revenue, product performance, and customer behavior to drive smarter business decisions.
Through detailed heat maps and time-based comparisons, Kelvin’s report uncovers when and where sales peak, highlighting how opening hours, promotions, and product mix affect overall profitability. The findings show, for instance, how extending store hours can generate measurable returns and how non-coffee items like chai and hot chocolate outperform expectations—offering clear opportunities for growth.
By transforming raw POS data into a story of customer demand, Kelvin’s dashboard helps small business owners move beyond simple totals and into actionable strategy—showing how Power BI can empower every entrepreneur to optimize operations, refine offerings, and boost revenue.
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