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Manufacturing reporting your leaders can trust — Power BI dashboards in Brisbane

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

Live manufacturing dashboard preview

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

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Manufacturing reporting in Brisbane and Queensland

Brisbane and wider Queensland manufacturing businesses often juggle ERP data, production systems, maintenance logs, quality records, and spreadsheet-based shift reporting across multiple teams.

The numbers that decide a manufacturing week - OEE, OTIF and cost per unit - are produced by SAP, MES platforms and SQL Server, 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 plant and operational 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 weekly production review. The plant manager brings shift data from a spreadsheet. Finance has different cost numbers from the ERP. Quality has deviation counts from a separate system. Thirty minutes in, the meeting is still reconciling numbers instead of deciding where to focus improvement effort. This reporting is built so that meeting starts with a single trusted view of OEE, yield, cost per unit, and variance - and the conversation moves straight to action.

Who this reporting is built for

Plant Manager

Cares about
OEE, throughput, and shift performance
Frustrated by
waiting until month-end to see production variance
Needs to decide
line priorities, maintenance scheduling, and labour allocation

Operations Manager

Cares about
cross-site performance and delivery reliability
Frustrated by
reconciling production, quality, and dispatch data manually
Needs to decide
where to focus improvement effort across sites and shifts

Quality Manager

Cares about
deviation trends, batch conformance, and scrap rates
Frustrated by
quality data trapped in separate systems from production reporting
Needs to decide
root cause investigation priorities and corrective actions

CFO / Finance Manager

Cares about
cost per unit, margin by product line, and capex tracking
Frustrated by
production and finance numbers that never match first time
Needs to decide
cost reduction focus, product profitability, and capital allocation

Supply Chain Manager

Cares about
OTIF, inventory accuracy, and supplier delivery
Frustrated by
no reliable view of stock, demand, and procurement in one place
Needs to decide
supplier actions, reorder points, and safety stock adjustments

Maintenance Manager

Cares about
planned vs unplanned downtime and asset reliability
Frustrated by
CMMS data that does not connect to production impact
Needs to decide
PM schedules, breakdown priorities, and spares investment

What's going wrong now

The ERP says one cost number. The plant spreadsheet says another. Finance has a third.

The weekly production review loses its first 30 minutes to data reconciliation.

Quality data lives in a completely separate system from production performance.

Downtime is logged but never surfaced alongside throughput and cost impact.

One analyst carries the entire reporting load - and they are on leave next week.

What changes after this is built

The weekly production review starts with one trusted dashboard - OEE, yield, cost, and variance - instead of a reconciliation exercise.
Plant managers check performance before the morning walk, not after it.
Finance and production finally agree on cost per unit because the definition is locked.
Quality data appears alongside production performance, surfacing deviation impact immediately.
Month-end is calmer because the pack builds itself from the same source as daily reporting.

Common manufacturing reporting problems

Pronto and MYOB Advanced each hold part of the same answer and disagree on the total

Scrap and labour efficiency 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

OTIF 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 manufacturing reporting takes longer than reviewing it does

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

Inventory accuracy is visible per site but not comparable between them

We work with manufacturing teams across Brisbane - Acacia Ridge, Wacol, Darra, Rocklea and Carole Park - 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 Manufacturing

Production review meetings that open on decisions rather than on assembling the numbers
Plant managers self-serving daily OEE and yield data instead of requesting a report
Cost per unit variance available early enough in the month to act on

What people notice day to day

Used in daily shift handovers

OEE numbers no longer debated in meetings

Plant manager reviews performance before the morning walk

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 manufacturing 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 manufacturing 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 manufacturing 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.

OTIF, inventory accuracy and stock turns available without anyone assembling them first
One agreed definition of supplier performance and backlog, holding across finance, operations and leadership
Less time spent preparing, checking and explaining manufacturing 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 manufacturing reporting

We have worked inside manufacturing environments - sitting in the production meetings, reviewing shift handover data, and reconciling ERP output with plant-floor reality. That is why the reporting we build survives first contact with the operations team.

Brisbane and Queensland manufacturing businesses get a consultant who understands plant-level KPIs like OEE, yield, and cost per unit - not just how to connect data sources.

The reporting is shaped around the decisions plant managers, operations managers, and finance teams actually make - not around a template.

Manufacturing reporting FAQs

Which systems can you connect Power BI to for manufacturing reporting?
The ones you already run. For manufacturing reporting that usually starts with ERP and finance platforms - SAP, Oracle, NetSuite and Pronto - alongside operational and plant systems, data interfaces and files. Where a system has no usable API we work from scheduled extracts.
Which manufacturing reporting metrics do you model first?
We start with the numbers already argued about in your meetings, which for manufacturing reporting generally fall into operational performance, supply and service, financial impact. That means agreeing exactly what cost per unit, gross margin, variance to plan, working capital and maintenance cost 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 manufacturing 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 manufacturing 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 plant and operational 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 manufacturing reporting to build it?
Enough to ask the right questions. Brisbane and wider Queensland manufacturing businesses often juggle ERP data, production systems, maintenance logs, quality records, and spreadsheet-based shift reporting across multiple teams. Reporting that ignores that produces technically correct dashboards nobody opens, so we start in your meetings rather than in Power BI.

Talk through your manufacturing 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.