Skip to content

Work

Judged by what we ship

Everything here is honest: client work appears with identities removed, and demonstration builds are labeled as sample builds. What you see is the standard you get.
FMCG financial dashboard — variance decomposition by driver, SKU levelClient work — anonymized
Year-over-year performance dashboard with drill-down filtersClient work — anonymized
Operational KPI dashboard — margins, volumes and trendsClient work — anonymized
Price-volume-mix analysis with revenue bridge and top customer moversClient work — anonymized
Multi-page Power BI reporting pack with drill-throughClient work — anonymized
FigureRite Dashboards — financial overview with AR/AP agingClient work — anonymized
FigureRite Dashboards — customisable views per userClient work — anonymized
FigureRite Dashboards — multi-user access controlClient work — anonymized
FigureRite PSX Analytics — market overviewPlatform screenshot
FigureRite PSX Analytics — single-stock research viewPlatform screenshot
FigureRite PSX Analytics — AI-assisted analysisPlatform screenshot
Sample build — integrated three-statement model, FMCG distribution scenarioSample build

Sample build for a fictional company — demonstration of the structure and rigour you receive.

Sample build — SaaS cohort revenue and runway modelSample build

Sample build for a fictional company — demonstration of the structure and rigour you receive.

Sample build — DCF valuation with scenario togglesSample build

Sample build for a fictional company — demonstration of the structure and rigour you receive.

Walkthroughs

How engagements play out

Three representative stories. They are illustrative scenarios — composites of typical engagements, not named client accounts — shown to make the process concrete.
Illustrative scenario

The e-commerce brand that couldn't see its cash

The problem
A growing online retailer was profitable on paper but repeatedly short of cash for inventory. Reports lived in five spreadsheets that disagreed with each other.
The build
A three-statement model with a 13-week cash flow view, connected to a monthly Excel dashboard covering margin by channel, inventory turns and the cash conversion cycle.
The outcome
Purchasing decisions moved from gut feel to a weekly cash view. The founder saw a stock-out risk six weeks before it would have hit.
Illustrative scenario

The SaaS startup preparing to raise

The problem
A founder heading into a seed round had strong growth but a model investors kept poking holes in — hard-coded numbers, missing cohort logic, no downside case.
The build
A fundraising model rebuilt to FMVA standards: cohort-based revenue, driver-led costs, three scenarios, and an assumptions page every figure traces back to.
The outcome
Diligence questions were answered by pointing at the model rather than scrambling for answers. The conversation moved from defending numbers to discussing terms.
Illustrative scenario

The agency drowning in monthly reporting

The problem
A marketing agency spent three days each month assembling client performance reports by hand, with errors slipping through under deadline pressure.
The build
A Power BI dashboard per client on a shared data model, refreshing on schedule — plus one internal view of agency-wide profitability by account.
The outcome
Reporting time fell from days to a review meeting. The agency spotted its least profitable account within the first month and repriced it.

Want work like this with your numbers in it?

Tell us what you need — get a clear plan and a fixed quote within one business day.

Book a free consultationSend a message