Business question
Regional performance comparisons needed to become faster to scan without losing the trend and product detail behind headline KPIs.
← Back to selected work
Executive reporting
NexaVisuals Regional Performance
A dark-mode executive dashboard comparing sales, profit and orders across US regions and periods.
The brief
From business question to decision-ready view.
The approach
- Created current-versus-prior-year KPI comparisons.
- Used regional maps and trends for fast pattern recognition.
- Applied consistent positive and negative variance cues.
What the sample data shows
Figures below describe the displayed portfolio dataset, not a client outcome.
- In the 2024 sample, South records 0.85bn sales, followed by Midwest at 0.52bn, West at 0.43bn and Northeast at 0.30bn.
- Midwest is the only region shown with positive sales growth, at +3.8% year over year.
- The regional view connects sales movement with profit, order and product-level variance cues.
Decisions this supports
- Which region is outperforming or falling behind plan
- Where price, product or period variance needs investigation
- Which management action should follow the variance signal
Interactive report
Explore the dashboard.
Use the report controls to navigate pages, filter the data and inspect individual views.
The interactive report is best viewed in a larger window.
Open interactive report (opens in a new tab)Public portfolio report. The demonstration data is intentionally non-confidential.
Open report in a new tab (opens in a new tab)Dashboard views
See what the analysis is built to show.
Select a view to inspect the analysis and the management question it is designed to support.
04Segment detailComing later
05Drill-throughComing later
06Supporting viewComing later
Dashboard view
Regional sales
Sales performance across West, South, Northeast and Midwest regions with product and monthly trends.
Start a conversation
Have a similar reporting or modelling question?
Share the decision you need to support and the data or report you already have.
Next case study
Marketing analyticsEngageIQ Social Media Analytics
→