Financial dashboards
Financial dashboard examples
In short
What a financial dashboard is
A financial dashboard is a single screen tracking the money: what came in, what it cost, and what is still owed. Most answer one of two jobs rather than both: the P&L side (revenue, margin, and the gap to plan), or the working-capital side (what is owed, when it turns into cash, and where it goes back out). The six below split three and three along exactly that line.
| Dashboard | The question it answers | The numbers on it |
|---|---|---|
| Financial Performance | Where is the money coming from, and what survives the trip to operating income? | Revenue, Gross Profit, Operating Income, Gross Margin |
| Budget vs Actual | Where did the plan hold, and where did it not? | Revenue, Budget Revenue, Variance To Plan |
| Financial KPI Scorecard | What are the four numbers this review opens with? | Revenue, Gross Margin, Operating Margin, Operating Income |
| Collections & AR Aging | Who owes us, how old is it, and who is chasing it? | Open Balance, Days Overdue, Invoice Amount, Days To Pay |
| Cash Collection Forecast | When does the open ledger turn into cash? | Open Balance, Invoice Amount, Paid Amount, Days To Pay |
| Spend & Vendor Concentration | Where does the money go, and how few vendors does it go to? | Invoice Amount, Budgeted Spend, Variance To Budget, Days To Pay |
Every one is a Mammoth template, shown below on the sample dataset it ships with.
The examples
Six financial dashboard examples
Each of these is a Mammoth template, captured as it renders on the sample dataset it ships with. Every figure on them is illustrative: the sample data is not a customer's, and no number here is a business result. They run on three different datasets — the P&L, the receivables ledger and the spend ledger — because those are three different grains and one board binds one dataset.
Example 01
Financial Performance
Where is the money coming from, and what survives the trip to operating income?
Revenue, gross profit and operating income on one strip, then the same figures cut by business unit and by region. The second page follows the margin specifically, because 'revenue is up' and 'margin is up' are different sentences and finance meetings run aground on the difference.
What is on it· 2 pages · Performance / Where the margin goes
- Revenue over time
- Revenue against operating income
- Unit mix by region
- Operating margin by region
- Margin consistency by unit
- Where gross profit comes from
- Margin by unit and region
Your data needsDashboard
- a revenue or money column
- a category (~4 values)

Sample data — illustrative figures, not business results. Example 02
Budget vs Actual
Where did the plan hold, and where did it not?
Actual against plan by unit, region and quarter. The cut is the point: a variance figure without the breakdown that produced it starts an argument rather than settling one, and the quarter view shows whether a miss is a blip or a trend.
What is on it· 2 pages · Against plan / What's driving it
- Over and under plan
- Actual against budget by quarter
- Variance over time
- Operating cost by region
- Percentage off plan by region
- Variance by unit and region
Your data needsDashboard
- a revenue or money column
- a category (~4 values)

Sample data — illustrative figures, not business results. Example 03
Financial KPI Scorecard
What are the four numbers this review opens with?
The short list, each with its trend rather than a single value. Built for the meeting that starts with 'how are we doing' — sparse on purpose, because a scorecard that lists everything is a report, and a report is a different artifact.
What is on it
- Operating income over time
- Gross margin
- Margin across units
- Revenue by region
- Where operating cost concentrates
Your data needsDashboard
- a revenue or money column
- a category (~8 values)

Sample data — illustrative figures, not business results. Example 04
Collections & AR Aging
Who owes us, how old is it, and who is chasing it?
The open ledger by age bucket, with the accounts carrying the balance ranked underneath and each payment-terms band shown against how late it actually runs. Disputed and part-paid are separated from simply overdue, because those are three different phone calls.
What is on it
- What is owed, by age
- Which accounts carry the debt
- Ageing by segment
- How late each terms band actually runs
- Open, part paid and disputed
- Collector against age
Your data needsDashboard
- a revenue or money column
- a category (~5 values)

Sample data — illustrative figures, not business results. Example 05
Cash Collection Forecast
When does the open ledger turn into cash?
Expected receipts week by week, with billed set against collected and the forecast's concentration shown — one late payer on a top-heavy week is a different risk from the same amount spread thin. Inflows only: this forecasts collection, not a net cash position, and there is no outflow side to it.
What is on it
- Cash expected in, week by week
- Billed against collected
- Where the cash sits, by terms
- How concentrated the forecast is
- How long each segment takes to pay
- Size against lateness
Your data needsDashboard
- a revenue or money column
- a category (~4 values)

Sample data — illustrative figures, not business results. Example 06
Spend & Vendor Concentration
Where does the money go, and how few vendors does it go to?
Spend by month and category against budget, with the concentration curve that says how much of the total rides on a handful of vendors. The last chart splits spend under contract from spend outside it, which is usually the number nobody has to hand.
What is on it
- Spend month by month
- How few vendors the spend goes to
- Where the money goes
- Category by vendor tier
- Budget against actual
- Spend under contract and outside it
Your data needsDashboard
- a revenue or money column
- a category column

Sample data — illustrative figures, not business results.
Other formats
The same numbers, three other ways
A dataset does not only become a dashboard. These three are built from the same 288-row P&L as the first three dashboards above, reshaped rather than rebuilt — a written month-end report, a quarterly summary, and a board presentation. The receivables and spend dashboards run on their own ledgers and have no written form in the catalogue.

Sample data — illustrative figures, not business results. Monthly Financial Report
Can somebody read the month rather than interpret it?
The month written up: revenue, margin, variance to plan and what moved.
Finance · Document

Sample data — illustrative figures, not business results. Executive Summary
What does the quarter say, in one read?
The quarter in one read: what the numbers did, where, and against plan.
Finance · Document

Sample data — illustrative figures, not business results. Board Pack
What goes in front of the board?
The quarter for a board audience: revenue, margin, plan and what is next.
Finance · Presentation
Design notes
What goes on a financial dashboard
Four things the examples above have in common. They matter more than which chart you pick.
One question per dashboard
A finance dashboard that answers cash, margin and compliance at once answers none of them well.
Each of these has a single question at the top, and everything on it exists to answer that question.
The figure and the trail behind it
Finance numbers get challenged.
Every figure should trace back to the rows that produced it, and the preparation that got it there should be readable rather than buried in a spreadsheet formula.
The plan figure beside the actual one
A margin percentage or a spend total means nothing alone.
Two of these six put the comparison on the strip itself rather than a chart below it — Budget vs Actual carries budgeted revenue and variance to plan, Spend & Vendor Concentration carries budgeted spend and variance to budget — so the gap is the first thing read rather than something you work out.
Exceptions, not just totals
The totals tell you there is a problem.
The cut underneath tells you what to do on Monday — which unit missed plan, which accounts carry the overdue balance, which few vendors the spend concentrates into.
Proof
Finance and reporting teams already running on Mammoth
Published customer stories, linked rather than summarised. None of them is a dashboard from this page — they are about the half nobody photographs: many systems, reconciled once, on a schedule.
- MUFGCapital adequacy, credit risk and compliance metrics spread across more than fifteen legacy systems in treasury, lending and compliance, reconciled by hand each quarter.
- BacardíOn-trade and off-trade data from 170+ markets arriving as Excel files, SAP extracts and CSV drops, every one of them formatted differently.
- Arla FoodsA central team hand-processing over a billion rows a month into static spreadsheets that took up to twenty days to prepare — the month-end problem at scale.
From example to live dashboard
Pretty is easy. Current and true is the hard part.
Any of these can be drawn in a slide. What makes one worth keeping is the five steps underneath it, and they are the same five whichever example you start from.
- 01
Connect the source
The dashboard reads the system, not an export somebody saved to their desktop. 100+ tested connectors, plus anything with a REST API.
- 02
Prepare it once
Cleaning, joining and reshaping are recorded as steps you can read, change and re-run — not a formula buried three sheets deep.
- 03
Check it before anyone sees it
Data checks run with the refresh and flag the rows that fail, so a broken upstream file shows up as an alert rather than as a wrong number in a meeting.
- 04
Put it on a schedule
Refresh on a schedule and the dashboard stays current on its own. Starter schedules daily runs; Pro adds hourly refresh and event triggers.
- 05
Publish it and send the link
Public, password-protected or sign-in only. Every sharing mode is available on every plan, including the free one.
Sharing
Everyone can see it.
Nobody pays to look.
Most dashboard tools charge for every person who opens one, which is why so many dashboards end up as a screenshot pasted into a message. Mammoth charges for the people who build. Viewers are unlimited and free on every plan, including the free one.
You pay for
The people who build
Anyone connecting a source, preparing data or publishing a dashboard counts as a platform user.
You never pay for
The people who look
Viewers are unlimited and free on every plan, including the free one. A board, a client list or a whole company: the number does not change the bill.
Plans differ in how many builders and published dashboards a workspace gets. Drafts, viewers and every sharing mode are unlimited and free on all four. Full pricing.
Financial dashboard questions
What should a financial dashboard actually show?
Where does the data come from?
How do I stop the numbers going stale?
Can I share it with people who are not finance?
Last reviewed against the template catalogue.
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