Dashboards and business intelligence

One trusted view of the numbers, pulled from the systems you already run, without the monthly export ritual.

Most businesses do not lack data. They lack one trusted place to see it. The numbers live in the accounting system, the CRM, the job system and three spreadsheets, and every month someone exports them, pastes them together and hopes nobody reconciled it differently. By the time the report is ready, it is already out of date.

Rangefront Labs builds dashboards and business intelligence for teams across Australia that want to stop rebuilding the same report and start trusting the numbers in front of them.

Live data beats the monthly export

A report built from exports is a snapshot of a moment that has already passed. A dashboard pulls from your systems directly, so the figure is current when someone looks at it. That changes how a team works: decisions stop waiting on whoever owns the spreadsheet, and the conversation moves from “is this number right?” to “what do we do about it?”

The hard part is rarely the charts. It is agreeing what each number means, so revenue, a job, a lead or a margin is defined the same way wherever it shows up. We pin that down first, because a pretty dashboard built on inconsistent definitions just spreads the argument faster.

Power BI, Metabase or a custom build

There is no single right tool.

  • Power BI and Metabase get you trustworthy, maintainable dashboards quickly on a supported platform, with access controls and scheduled refreshes.
  • A custom build makes sense when the data is unusual, the access rules are strict, or the reporting needs to live inside your own application rather than a separate tool.

We choose based on the questions you need answered and the systems you already run, not on what we feel like building.

Marketing data is its own problem

Ad platforms are the worst offenders for numbers that refuse to agree. Google Ads, Meta, LinkedIn, TikTok and GA4 each attribute differently, report on different windows, and change their APIs often enough that a hand-built connection needs babysitting. Someone usually ends up exporting from each of them on a Monday and pasting the results into a sheet.

Marketing data hubs exist for exactly this. Funnel.io pulls the ad and analytics platforms into one consistent shape and pushes it into BigQuery, Power BI, Looker Studio or Sheets, so spend and performance sit alongside the rest of your reporting instead of in six browser tabs. Supermetrics and Fivetran cover similar ground with different strengths.

It’s worth paying for when you run several channels and a person is currently doing that export by hand every week. It isn’t worth it when you run one ad account and the platform’s own reporting already answers the question. We’ll tell you which situation you’re in, and we build the connection ourselves where a subscription would just be rent.

It usually means connecting systems

Useful dashboards almost always pull from more than one place: finance, CRM, operations and bespoke databases at once. That makes this as much an integration job as a reporting one. If the underlying data is scattered across spreadsheets and shared drives, part of the work is getting it into a shape worth reporting on in the first place. We handle both: the connection layer and the dashboards on top.

Built to be used, and to be trusted

A dashboard nobody opens is wasted money. We build around the decisions a dashboard is meant to support, keep it readable without a manual, and refine it with the people who rely on it. The aim is a single source for the numbers your team used to argue about, backed by data work you can stand behind.

If your reporting still runs on a fragile spreadsheet that half the team is scared to touch, that is usually the place to start.

Common questions

A report is a snapshot someone builds for a moment in time. A dashboard is a live view that updates from your systems, so the numbers are current when someone looks rather than current when someone last exported them. Most teams want both: scheduled packs for the board and live dashboards for the people running the work.

Both are valid. Power BI and Metabase get you trustworthy dashboards quickly on a supported platform. A custom build makes sense when the data is unusual, the access rules are strict, or the dashboard needs to live inside your own application. We match the tool to the questions you need answered, not the other way around.

Yes, and that is usually the point. Most useful dashboards pull from finance, CRM, operations and bespoke systems at once. The work is connecting those sources and agreeing one definition for the numbers people argue about, so a figure means the same thing wherever it appears.

Yes. Marketing data is fiddly because every platform counts differently and keeps changing its API. We either connect the platforms directly or run them through a marketing data hub like Funnel.io into BigQuery, Power BI or Looker Studio. Which one depends on how many channels you run and whether the subscription saves more than the maintenance it replaces.

Usually yes, when the spreadsheet has become fragile and slow to update. We map the current report first, then rebuild the useful parts on live data so nobody is copying figures by hand each month.

Only if it answers their questions and reads without a manual. We build dashboards around the decisions they support, then refine them with the people who use them rather than shipping a wall of charts and walking away.

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Tired of rebuilding the same report by hand?

Tell us the numbers you chase each month and which systems they live in.