Financial Services
Reporting your risk team will sign off on
Regulated reporting has to be reproducible and explainable months later. Mammoth writes every rule down as a visible step, checks the data before anything publishes, and keeps the history of how each number was made.
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Group cash position
£42.6M
- Sources
- 3 entity ledgers, loaded 06:00
- Rule applied
- FX at month-end rate · step 6 of 11
- Data checks
- 3 of 3 passed
- Approved
- Reporting lead · 09:14
- Pipeline
- Version 14 · changed 2 days ago
The report is due on a fixed calendar, the source systems don't agree with each other, and someone has to be able to explain in six months exactly how a figure was derived. Most teams solve this with a spreadsheet and a person who remembers. That works until the person is on leave during close.
Customer stories
Results in Financial Services
Every figure here comes from the customer's published story.
From source to sign-off
Four steps between the raw data and the report
In the order they run. The panels use made-up rows to show the shape of each one.
Standardise
Put every country's data on one standard
MUFG's centralised team received KYC data from 19 countries, each in its own conventions, and reconciled it by hand in Excel. The same work now runs automatically in 15 to 20 minutes.
- Each country's conventions mapped once, then reused
- Automated runs in place of manual reconciliation
- A team that can grow without growing the spreadsheet
Standardise conventionsIllustrativeCountry Review date Name Japan 2026/10/03 TANAKA H. India 03-10-2026 P. Sharma United States 10/03/2026 Smith, J. Germany 03.10.2026 Müller, A. One standard2026-10-03 · family, givenRules
Write the rules down where audit can read them
MUFG's rules for when a customer's KYC should be reviewed again were complex enough that the outcome was negotiable. Built as a visible pipeline, every recommendation now shows the rule that produced it.
- Rules revised quickly as policy changes
- Writing them down surfaced assumptions nobody had stated
- Clear enough to satisfy compliance and audit review
Re-review rulesIllustrative- 1Risk rating raised since last review42
- 2Ownership structure changed17
- 3Identity document expired108
- 4None of the above3,916
167 customers flagged for review. Each one shows the rule that flagged it.
Controls
Stop bad data before it reaches the report
Data checks run inside the pipeline and halt it when a rule fails. An approval gate then holds the run until a named person signs off, and records who approved it and when.
- Checks for blanks, row counts, ranges or any rule you write
- A failed check stops everything downstream
- Approvals logged with the approver's name and the time
Before it publishesIllustrativeData checks
- Totals reconcile to sourcePassed
- No blank entity codesPassed
- Account IDs are uniquePassed
Approval
Approved by the reporting lead09:14The run waited here until it was approved.
A failed check stops the run. Nothing reaches the report until it passes.
History
Show how a number was made, months later
Every change to a pipeline is saved as a version, with what was added, removed or changed. The activity log records who connected what, who edited which step and when it ran.
- Restore an earlier version of the logic
- Activity log kept 3 years on Pro, and up to seven years on Enterprise
- Password-protected links for auditors, at no cost per viewer
Version historyAutomatic- v14 · current
- v13
- v12
- v11
Templates
Start from a dashboard that already works
Mammoth templates captured as they render, on sample data. Point one at your own data and it fills in.

Sample data: illustrative figures, not business results. Budget vs actual dashboard
Where did the plan hold, and where did it not?
See it full size →
Sample data: illustrative figures, not business results. CFO dashboard
How is the business doing, in four numbers?
See it full size →
Before you ask
The questions this industry always raises
Can different entities see the same dashboard, scoped to their own rows?
Can we enforce SSO, MFA and IP restrictions?
Where does our data live?
How long is the activity log kept?
What certifications does Mammoth hold?
See it on your own data.
Start free and connect one source, or book a demo if you'd rather we scoped it with you first.
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