See exactly what you'd be getting.
Most data websites ask you to imagine the output. These are working samples — click the slicers, hover the bars, open the data table. Built the same way yours would be.
An interactive Power BI dashboard.
Slicers that genuinely filter every visual, KPI cards with real month-on-month deltas, and a refresh stamp. This is the shape of a report you'd open on a Monday morning — and the axis rescales when you filter, so a smaller slice never looks bigger than it is.
| Month | Revenue |
|---|---|
| Oct 2025 | £142k |
| Nov 2025 | £155k |
| Dec 2025 | £118k |
| Jan 2026 | £149k |
| Feb 2026 | £168k |
| Mar 2026 | £172k |
| Apr 2026 | £181k |
| May 2026 | £176k |
| Jun 2026 | £195k |
| Jul 2026 | £204k |
| Aug 2026 | £221k |
| Sep 2026 | £248k |
Try the region slicers — the KPIs, the monthly chart, its axis labels and the product groups all move together, and every figure reconciles back to the revenue total.
An Excel reporting pack that ties.
Budget versus actual with variance in both pounds and per cent, in-cell data bars, a status column that says what it means rather than relying on a colour, and a totals row that adds up. Laid out so whoever picks it up next can follow it.
| A | B | C | D | E | F | |
|---|---|---|---|---|---|---|
| 4 | Branch | Budget | Actual | Var £ | Var % | Status |
| 5 | Liverpool | 88,000 | 93,000 | +5,000 | +5.7% | On track |
| 6 | Manchester | 98,000 | 105,000 | +7,000 | +7.1% | Ahead of budget |
| 7 | Preston | 54,000 | 50,000 | −4,000 | −7.4% | Behind — review |
| 8 | Total | 240,000 | 248,000 | +8,000 | +3.3% |
Variance both ways
Pounds and per cent. A −7.4% miss on a small branch and a −7.4% miss on a large one are very different problems.
Status in words
"Behind — review" is written out, not just shaded red, so the pack still works printed, photocopied, or for a colour-blind reader.
A totals row that ties
+5,000 +7,000 −4,000 = +8,000, and 8,000 / 240,000 = 3.3%. If the total doesn't reconcile, the report isn't finished.
What automation actually changes.
The reporting output can look identical. What changes is who builds it, how long it takes, and whether you can trust it.
- Four exports pulled by hand every Monday
- Copy-paste into a master workbook
- Around three hours, every week
- One person knows how it works
- Nobody's certain the totals are right
- Sources connected once, refreshed on a schedule
- The report is waiting before anyone starts work
- No manual steps to forget or get wrong
- Documented, so it isn't in one person's head
- Built-in reconciliation check on every refresh
An illustrative scenario, not a client case study. Work out the figures for your own reporting with the hours-saved calculator.
Reports come in the shape that suits the job.
Not everything belongs in a dashboard. Part of the work is picking the right output for who's reading it.
Board and management packs
A fixed, point-in-time PDF or deck for a monthly meeting — consistent every month so figures are comparable across the year.
Scheduled email reports
The numbers land in the inbox of whoever needs them, at the time they need them, without anyone logging into anything.
Reconciliation reports
A standing check that two or more systems still agree — and a clear list of the records that don't, with the reason why.
Bank statement income reports
Raw statements turned into categorised income and outgoings — for affordability, lending, or a true picture of the money.
One-off deep dives
A single question answered properly: where did the margin go, which customers are really profitable, why did last quarter miss.
Excel model rebuilds
An inherited workbook nobody trusts, rebuilt so the formulas are auditable and the numbers can be defended.
Want to see one of these built with your data?
Send over a report you rebuild by hand. I'll show you what it looks like automated — free, and with no obligation to go further.