Make product contribution visible
Structured to support a clear, repeatable analytical workflow.
Detailed Power BI case study
Cafe performance. From every transaction to insight.
A four-page Power BI showcase exploring coffee sales, product choice, payment behaviour, weekday patterns and time-of-day performance.
POWER BI · MULTI-PAGE SHOWCASE
4 report pagesCafe Performance Dashboard
Coffee revenue, product choice, payment behaviour, weekday patterns and time-of-day performance across four analytical views.
LIVE INTERACTIVE REPORT
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Use the report’s page navigation, filters and visual interactions to explore the analysis. For the largest viewing area, open the report in a separate tab.
Public demonstration report · Published with Microsoft Power BI
Public data notice: This report is shared through Power BI Publish to web. Its visible content and underlying published data may be accessible publicly. Do not include confidential, personal or restricted information.
Interactive public demoKPI and data-model documentationDecision framework and QA notesTransparent sample/public-data disclosure
SolutionCafe sales and product analytics
PlatformMicrosoft Power BI
Report scope4 report pages
Primary usersCafe owners, operations managers and commercial analysts
Executive summary
A focused decision journey built around the published report experience.
Coffee revenue, product choice, payment behaviour, weekday patterns and time-of-day performance across four analytical views.
This case study describes the analytical experience demonstrated by the published Power BI report. It does not claim a named client engagement, private source-data implementation or quantified business outcome.
Solution objectives
What the dashboard is designed to accomplish.
Compare cash and card behaviour
Structured to support a clear, repeatable analytical workflow.
Expose weekday and time patterns
Structured to support a clear, repeatable analytical workflow.
Support visual exploration across four pages
Structured to support a clear, repeatable analytical workflow.
Report capabilities
Visual experiences represented in the uploaded dashboard.
The report combines standard Power BI interactions with specialised third-party visuals. Production deployment should confirm organisational approval and licensing for every custom visual.
Journey analysis
Connects cash type, coffee selection and total money to reveal the path behind revenue contribution.
Product performance
Compares coffee products using total money and hour-of-day context.
Time-of-day exploration
Uses an exploratory SandDance view across time, cash type, coffee, hour and money.
Animated contribution view
A bar-chart-race experience compares coffee and cash-type contribution over the selected context.
Headline monitoring
Cards surface total amount and total hours for an immediate performance reference.
Focused filtering
Coffee and weekday slicers provide consistent investigation controls across the report experience.
KPI framework
Measures connected to practical operating questions.
Definitions are described from the report structure and should be reconciled to approved source rules before production use.
Total money
Commercial value captured by the selected report context.
Coffee contribution
Revenue contribution by individual coffee selection.
Cash-type mix
How payment method participates in the sales mix.
Weekday pattern
Relative performance across days of the week.
Hour-of-day pattern
When transaction value is concentrated during operating hours.
Product journey
How payment type and product choice combine to produce value.
User journey
From selection to investigation.
Choose a coffee or weekday
Use cross-filtering and page-level context to continue the analysis.
Review total amount and operating-hour context
Use cross-filtering and page-level context to continue the analysis.
Compare product and cash-type contribution
Use cross-filtering and page-level context to continue the analysis.
Explore time and payment patterns
Use cross-filtering and page-level context to continue the analysis.
Identify products or periods for deeper operational review
Use cross-filtering and page-level context to continue the analysis.
Data model & delivery
Report logic organised around reusable business entities.
The published report indicates the following analytical structures. A production implementation would validate the source model and add documented ownership, refresh, access and deployment controls.
Coffee sales transaction tableCoffee-name attributeCash-type attributeWeekday and time fieldsHour-of-day fieldMoney value used for aggregation
Quality assurance
Checks required before production adoption.
Validate money values against source totalsConfirm weekday and time derivationTest Coffee and Weekday slicer propagationReview blank payment or product categoriesValidate third-party visual behaviourCheck responsive readability and tooltip clarity
Decision value
Questions this dashboard helps users explore.
- 01Which coffee products contribute most value?
- 02How does payment type relate to product choice?
- 03Which weekdays deserve staffing or promotion attention?
- 04At what times is value most concentrated?
Evidence statement: Demonstration case study created from the supplied public Power BI report link. Data must be sample, public or anonymised before any Publish to web link is used. No quantified client outcome is claimed.
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