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Mining & Resources reporting your leaders can trust — Power BI dashboards in Queensland

Brisbane-based, operator-led reporting support for mining & natural resources teams that need clearer KPIs, less manual reporting, and numbers the business can trust.

Live mining & natural resources dashboard preview

A working illustration of the reporting we typically build for mining & natural resources clients in Brisbane and Queensland. Numbers are illustrative — yours land in the same layout once we connect your data sources.

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Mining & Natural Resources reporting in Brisbane and Queensland

Mining and resources reporting typically spans site performance, maintenance, safety, contractor activity, production, and cost data across disconnected source systems.

The numbers that decide a mining and natural resources week - cost per unit, throughput and inventory accuracy - are produced by SQL Server, Oracle and SCADA, which were bought at different times to solve different problems and were never meant to be read together. So they get reconciled by hand, and the answer arrives after the shift it was supposed to inform.

We connect those sources directly, agree what each metric counts before anyone builds a visual, and hand site-based resources and asset-intensive teams reporting that refreshes on its own. The measure of success is that the meeting opens on what to do, not on whether the figures are right.

The meeting this is built for

The daily site production meeting. The superintendent has fleet data from the dispatch system. The processing plant has throughput from SCADA. Maintenance has equipment availability from the CMMS. Safety has yesterday's incidents from a separate platform. This reporting is built so the site GM opens one dashboard and sees production against plan, equipment health, safety status, and cost per tonne - before the meeting starts.

Who this reporting is built for

Site General Manager

Cares about
production tonnage, safety, and cost per tonne
Frustrated by
reconciling production, maintenance, and contractor data manually
Needs to decide
shift priorities, shutdown scheduling, and cost management

Operations Superintendent

Cares about
equipment utilisation, haul cycle times, and daily production
Frustrated by
fleet and production systems that do not feed into one view
Needs to decide
fleet allocation, blast scheduling, and processing priorities

Maintenance Manager

Cares about
equipment availability, PM compliance, and breakdown frequency
Frustrated by
CMMS data disconnected from production impact reporting
Needs to decide
shutdown work scope, spares investment, and reliability priorities

Safety / HSEC Manager

Cares about
incident rates, hazard trends, and compliance status
Frustrated by
safety reporting assembled manually from multiple data sources
Needs to decide
intervention priorities, training focus, and regulatory actions

CFO / Commercial Manager

Cares about
cost per tonne, contractor spend, and capital tracking
Frustrated by
finance and operations data that never match on first review
Needs to decide
budget control, contract negotiation, and cost reduction

Project / Planning Manager

Cares about
mine plan adherence and long-term forecast accuracy
Frustrated by
planning data trapped in geological models and spreadsheets
Needs to decide
resource model updates, schedule adjustments, and development sequencing

What's going wrong now

Operational and financial data live in different systems with different definitions.

The weekly review loses time reconciling numbers instead of making decisions.

One person carries the entire reporting load.

Issues are discovered after the reporting period closes, not during it.

Leadership cannot drill into the numbers without requesting a custom report.

What changes after this is built

The weekly review starts with one trusted view of performance - not a reconciliation exercise.
Managers see issues as they happen, not after the reporting period closes.
Finance and operations work from the same KPI definitions.
Month-end is calmer because reporting builds from the same source as daily operations.
One person no longer carries the entire reporting burden.

Common mining & natural resources reporting problems

CMMS and quality logs each hold part of the same answer and disagree on the total

Variance to plan and working capital are calculated differently by finance and operations, and both are defended

Reporting still depends on Excel workbooks, manual checks and copied values

There is no clean single view by site, line, shift and asset

Review meetings lose time validating the data before the decision can start

Maintenance cost arrives after the window in which anyone could have acted on it

Too much of the reporting lives with one person, or in one undocumented workbook

Existing Power BI reports are slow, stale, or quietly not trusted

Managers cannot drill into a number without asking someone to rebuild the report

Assembling mining and natural resources reporting takes longer than reviewing it does

Planned versus actual is weak across shifts, lines, sites and assets

Product profitability is visible per site but not comparable between them

We work with mining & natural resources teams across Brisbane - the CBD, Milton, Fortitude Valley and Newstead - and across Queensland.

What changes

What this work typically achieves

Reporting time cut by more than half in a typical engagement
Cycles that ran for days completed in one
A stack of spreadsheets replaced by one connected model

What that usually looks like in Mining & Natural Resources

Daily production reconciliation eliminated across multiple sites
Equipment availability reporting moved from weekly spreadsheets to real-time dashboard
Cost per tonne variance visible by shift within 24 hours

What people notice day to day

Used in weekly operational reviews

Numbers no longer debated in meetings

Reporting no longer rebuilt manually each period

Book a reporting clarity call

You'll leave with a written action plan: speed issues, KPI drift, governance gaps, and a practical 30-day fix path.

Systems and data sources we connect

Reporting friction often starts because the right data sits across disconnected platforms. We connect the sources that matter for mining & natural resources reporting.

ERP and finance platforms

SAPOracleNetSuiteProntoMYOB AdvancedMicrosoft Dynamics 365

Operational and plant systems

MES platformsSCADAhistorian systemsCMMSquality logsdowntime trackersproduction spreadsheets

Data interfaces and files

SQL ServerCSV extractsExcel workbooksSharePoint listsAPI feedsPower Query staging tables

What we build for mining & natural resources teams

Executive performance dashboards

A shared leadership view across revenue, margin, output, labour, and operational variance.

Daily operational reporting

Shift, line, site, or asset reporting that helps managers respond earlier.

Production and quality dashboards

Yield, scrap, downtime, batch, deviation, and throughput performance in one reporting model.

Inventory and supply reporting

Stock position, purchase visibility, supplier performance, and service risk tracking.

Maintenance reporting

Planned maintenance, breakdowns, backlog, and asset reliability reporting.

Finance and operations bridge reporting

A cleaner link between cost, production, service, and margin outcomes.

Key mining & natural resources KPIs and decision metrics

Operational performance

  • OEE
  • throughput
  • downtime
  • yield
  • scrap
  • labour efficiency

Supply and service

  • OTIF
  • inventory accuracy
  • stock turns
  • supplier performance
  • backlog
  • schedule adherence

Financial impact

  • cost per unit
  • gross margin
  • variance to plan
  • working capital
  • maintenance cost
  • product profitability

What becomes easier after implementation

The value is not only in the dashboard or the data model. It is in what changes day to day once reporting stops being a source of friction.

Variance to plan, working capital and maintenance cost available without anyone assembling them first
One agreed definition of product profitability and OEE, holding across finance, operations and leadership
Less time spent preparing, checking and explaining mining and natural resources reporting
A calmer rhythm around the shift handover, the weekly production review and month-end
Problems visible early enough to act on, rather than explained afterwards
Less dependence on one analyst, one workbook, or one undocumented process

Why Roar Data for mining & natural resources reporting

Mining and resources reporting typically spans site performance, maintenance, safety, contractor activity, production, and cost data across disconnected source systems.

That is the environment the reporting has to survive, so we build it around how site-based resources and asset-intensive teams actually work - what gets asked in the meeting, what has to reconcile, and what breaks when one person is on leave.

We are Brisbane-based and work across Queensland and the rest of Australia. For mining & natural resources that matters less for proximity than for availability: someone who will sit in the review where the numbers get argued about, rather than only in the handover.

The test is whether the reporting still gets opened six months later without us. If it needs a specialist to maintain, it was built wrong.

Mining & Natural Resources reporting FAQs

Which systems can you connect Power BI to for mining and natural resources reporting?
The ones you already run. For mining and natural resources reporting that usually starts with ERP and finance platforms - NetSuite, Pronto, MYOB Advanced and Microsoft Dynamics 365 - alongside operational and plant systems, data interfaces and files. Where a system has no usable API we work from scheduled extracts.
Which mining and natural resources reporting metrics do you model first?
We start with the numbers already argued about in your meetings, which for mining and natural resources reporting generally fall into operational performance, supply and service, financial impact. That means agreeing exactly what scrap, labour efficiency, OTIF, inventory accuracy and stock turns count, before anyone builds a visual. Two teams using one word for two different calculations is why most reporting quietly stops being trusted.
Can you fix an existing mining and natural resources Power BI setup rather than rebuild it?
Often, yes. We review the model, the DAX and the refresh design, then say honestly which it is. A mining and natural resources report that is slow because of one badly shaped relationship is a repair; one built on assumptions that no longer hold is cheaper to rebuild than to keep patching.
Can you report across multiple sites?
Yes - comparing across sites, lines, shifts and assets is one of the more common reasons site-based resources and asset-intensive teams call us. The hard part is never the visuals, it is making each one measure the same thing so the comparison means something.
Do you need to understand mining and natural resources reporting to build it?
Enough to ask the right questions. Mining and resources reporting typically spans site performance, maintenance, safety, contractor activity, production, and cost data across disconnected source systems. Reporting that ignores that produces technically correct dashboards nobody opens, so we start in your meetings rather than in Power BI.

Talk through your mining & natural resources reporting

If your reporting still depends on manual work, spreadsheet fixes, or numbers people do not fully trust, we can map out a practical way forward.

You'll leave with a written action plan: speed issues, KPI drift, governance gaps, and a practical 30-day fix path.