Smartdatafinance

Financial analytics · Singapore

The numbers your business decides on, prepared properly.

Smartdatafinance builds and runs the reporting, forecasting and analytics layer for companies that have outgrown spreadsheets but do not need a full in-house finance analytics team. Monthly packs that arrive on time, forecasts that reconcile, dashboards people actually open.

Management reporting Cash-flow forecasting BI dashboards Margin & pricing analytics

Practice

What we do

We work with owner-managed groups and mid-market companies, typically between SGD 5 million and SGD 150 million in turnover, including multi-entity operators based in Singapore and trading across the region. Finance teams in this band already close the books and file what must be filed. What they lack is a numbers layer that is timely enough, and structured enough, to steer the business between board meetings.

The starting problem is usually familiar. The monthly close takes three weeks, so the pack arrives after the next month is already in motion. The cash forecast lives in one person’s workbook and cannot be reconciled to the bank. Margin by product, customer or outlet is guessed from a pivot that nobody quite trusts. Pricing decisions rest on last year’s list plus a conversation.

Smartdatafinance puts a working layer in place: a close calendar and a management pack that lands in the first ten days, a 13-week cash view rebuilt from bank and receivables data, models that hold together when a driver is changed, and dashboards that read from a cleaned chart of accounts. We stay to run the cycle, or we hand it to your team with the documentation they need.

Services

Twelve services, one coherent numbers layer

Reporting, forecasting, commercial analytics and data work are specified separately so you can see the catalogue clearly. In practice they share a chart of accounts, a close calendar and a review rhythm. The six services below are the ones most engagements start with.

Management reporting

Monthly packs built around the decisions your board and operators actually take: flash P&L, cash, working capital and a short commentary. Designed to land in the first ten days after month-end, with a stable pack structure from one period to the next.

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Cash-flow forecasting

A 13-week cash view rebuilt each week from bank balances, receivables ageing and known payments. Receipts are dated from collection history rather than invoice dates, so the forecast can be compared with what actually cleared.

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Budgeting & reforecasting

An annual budget that can be loaded into the same structure as the monthly pack, then a quarterly reforecast that updates volume, price, labour and overhead without rebuilding the model from a blank sheet each time.

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Financial modelling

Three-statement models and scenario work for expansion, a new outlet, a pricing change or a refinance. Drivers sit in one place, statements articulate, and the outputs can be dropped into a board paper without a late-night rebuild.

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BI dashboards & data pipelines

Power BI or Looker Studio views fed from a warehouse or a disciplined extract, so the same figure appears in the pack, the forecast and the screen. Pipelines are documented so your team can refresh them after handover.

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Profitability analytics

Contribution and fully loaded margin by product, customer, outlet and channel, with the allocation rules written down. The point is to make the choices visible, so a debate about rent or delivery cost is a debate about a method, not a feeling.

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All twelve services

Engagement

How an engagement runs

Most work follows the same sequence. The diagnostic is short and written. The build is time-boxed. The run phase is where the calendar becomes a habit. You then keep us on a retainer or take the file in-house.

Diagnostic

Indicative duration: two weeks

We interview finance and the people who use the numbers, list every source system and spreadsheet, and walk a recent close. You receive a findings note, a data map and a prioritised build plan with an indicative fee. Nothing is built in this phase beyond samples needed to test a method.

Data and systems review

Indicative duration: one to two weeks, often overlapping the build

Access is arranged through your systems. We test whether the chart of accounts can support the pack you want, whether entities can be consolidated without manual journals that disappear, and whether bank and subledger extracts can be scheduled. Gaps are written into the plan before the model is locked.

Build

Indicative duration: four to eight weeks for a reporting layer

Pack templates, cash models, dashboards and allocation files are built against the agreed scope. Each artefact has a review cycle with your finance lead. We do not declare a build finished until a live month has been run through it and the figures have been reconciled to the ledger.

Run and review

Indicative duration: the first two to three close cycles

We operate the calendar with you: flash numbers, pack assembly, the weekly cash call and a short commentary. Issues that only appear in a live close are fixed in the file. This is also when operators are shown how to read the new views so the pack is used, not merely filed.

Handover or retainer

Indicative duration: one to two weeks for handover; retainer is ongoing

You receive a handover file: data map, pack calendar, model notes, refresh instructions and a list of known limitations. Some clients take the layer in-house at this point. Others keep us as a retained analytics partner to run the cycle each month and to handle reforecasts.

Sectors

The economics we already know how to measure

Multi-outlet F&B and retail

Outlet contribution, labour as a percentage of sales, waste, delivery mix and the rent line that decides whether a site is earning its keep.

Freight forwarding and logistics

Load profitability, lane margin, detention and demurrage leakage, and a cash view that respects the lag between shipment and collection.

Professional services firms

Utilisation, realisation, work-in-progress ageing and partner-level contribution, so pricing conversations rest on recovered hours rather than hope.

B2B software

Gross retention, net retention, cost-to-serve by cohort and a cash forecast that treats annual invoices as a collection profile, not a single receipt.

Manufacturing and distribution

Gross margin after freight and returns, inventory days by category, and a production-cost view that can be reconciled to the ledger.

Property and facilities management

Contract contribution, recoverable versus non-recoverable cost, and a working-capital view across deposits, sinking funds and billed arrears.

Work

What the work looks like in practice

The examples below are illustrative composites of typical engagements, not named client accounts.

Multi-outlet F&B group, 11 sites

Situation

The monthly pack arrived on day 19. Outlet managers saw a P&L once a quarter. Labour cost was known in total and guessed by site. The cash forecast was a twelve-month sheet updated when someone remembered.

What we built

A close calendar with a day-6 flash and a day-8 pack, outlet contribution after labour, waste and delivery commission, and a 13-week cash view rebuilt weekly from bank and receivables extracts. Rent and shared kitchen cost were allocated on a written rule, not a late journal.

What changed

Close moved from day 19 to day 7. Two sites that had looked acceptable on a fully loaded P&L were shown to be below contribution after labour and delivery. The weekly cash call replaced an ad-hoc request to the bookkeeper when a supplier asked to be paid early.

Regional freight forwarder, four entities

Situation

Jobs were profitable in the operations system and thin in the ledger. Lane margin could not be shown without a three-day extract. Cash was managed from the bank login because the 13-week view used invoice dates for receipts that routinely cleared 20 days later.

What we built

A job-to-ledger bridge, lane and customer contribution after agent cost and detention, and a cash forecast that applied collection curves by customer group. Multi-currency entities were translated on a documented rate policy so the pack and the cash view used the same method.

What changed

The 13-week cash view was rebuilt weekly from bank and AR data and began to match the following week’s cleared funds within a range the FD would sign. Two lanes that had been defended on volume were repriced after three months of contribution reporting.

Professional services firm, 40 fee-earners

Situation

Utilisation was reported from the time system. Realisation was a conversation. Work-in-progress older than 90 days sat in a spreadsheet that was not tied to the ledger. The board pack was a set of charts pasted from last month’s file.

What we built

A monthly pack that joined time, billing and the ledger: utilisation, realisation, WIP ageing and partner contribution. A short pricing appendix showed discounting by client tier. The dashboard refreshed from the same extract as the pack, so the two views could not drift.

What changed

WIP older than 90 days was reviewed on a fixed calendar instead of when cash tightened. Two client relationships that looked large on fees were shown to be below target realisation after write-offs. The pack landed on day 8 for four consecutive months.

Next step

Start with a diagnostic

A two-week diagnostic produces a findings note, a data map and a build plan you can take to your board. It is scoped work with a written fee, not an open-ended conversation.

If the plan is useful, we can start the build. If it is not, you keep the note.