Flagship demo / live sample
The Decision Dashboard
This is what "intelligence for decision makers" looks like in practice: one screen where revenue, margin, orders and customer loyalty stop being twelve spreadsheets and start being a conversation. Period and channel filters update the KPIs, trend, mix, insights, and table. The product-line panel stays on an explicitly labelled trailing-12-month view.
Revenue
MUR 80M
+5.0% (moving the right way) vs the prior period
vs same months, prior period
Gross margin
27.4%
+0.4 pp (moving the right way) vs the prior period
vs same months, prior period
Orders
37,240
+15.3% (moving the right way) vs the prior period
vs same months, prior period
Repeat-customer rate
45.4%
+0.7 pp (moving the right way) vs the prior period
vs same months, prior period
Monthly revenue
MUR / month
Channel mix
Share of period revenue
- Retail27M33%
- Wholesale42M52%
- Online12M15%
What a decision layer flags
- Online is the fastest-growing channel in this view, up 30.0% on the prior period. Worth asking: is that growth priced and resourced to last?
- Dec 25 was the strongest month at MUR 7.5M. Worth asking: what drove it, and is it repeatable or seasonal?
- Gross margin is trending up, about 0.2 pp between the first and second half of the period. Worth asking: which lines earned that lift?
Trailing 12-month revenue by product line
Channel filter applies / period filter does not
- BeveragesMUR 26M
- Household goodsMUR 20M
- Personal careMUR 14M
- Snacks and confectioneryMUR 13M
- Office and stationeryMUR 7.9M
Why the filters matter
The same business looks healthy over 12 months and worrying over 6, or strong overall and weak in one channel. A decision dashboard makes the slice explicit, so the leadership team argues about the business, not about whose spreadsheet is right.
Why so few numbers
Four tiles, three charts. A dashboard is not a data dump: every figure here earns its place by informing a recurring decision (pricing, stock, channel investment, retention spend). Everything else belongs in a report, one click deeper.
Why the insight panel
Numbers describe; decisions need questions. The panel turns each movement into the question a good analyst would ask next. Modern AI can draft these automatically, but only when the underlying data is trustworthy.
Next step
Want this view of your own business?
A dashboard like this is the visible last step of a short journey: consolidating your data, agreeing which decisions it should inform, and picking the few metrics that matter. Our KPI Selector helps you start that conversation, and the Nexus team builds decision dashboards for Mauritian organisations.