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Power BI dashboards for Automotive teams in Brisbane

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

Live automotive dashboard preview

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

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Automotive reporting in Brisbane and Queensland

Automotive reporting can involve dealer or branch performance, stock, service operations, supplier reporting, and margin control across multiple systems.

The numbers that decide an automotive week - OTIF, cost per unit and throughput - are produced by MES platforms, SQL Server and Oracle, 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 automotive distribution and service 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 monthly dealer review. Each location has sales, service, and parts data in separate DMS platforms. Finance has margin data from accounting. The group GM cannot compare dealer performance without manual consolidation. This reporting is built so the group reviews sales, service, parts, and profitability by location - in one consistent dashboard.

Who this reporting is built for

CEO / Managing Director

Cares about
overall business performance visibility
Frustrated by
fragmented reporting across departments
Needs to decide
strategic priorities and resource allocation

CFO / Finance Manager

Cares about
financial accuracy and reporting efficiency
Frustrated by
manual month-end processes
Needs to decide
cost control and capital allocation

Operations Manager

Cares about
day-to-day performance tracking
Frustrated by
delayed and unreliable operational data
Needs to decide
process improvement and staffing

Department Heads

Cares about
team accountability and KPI clarity
Frustrated by
inconsistent metrics and manual reporting
Needs to decide
resource allocation and corrective actions

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 automotive reporting problems

SCADA and historian systems each hold part of the same answer and disagree on the total

Supplier performance and backlog 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

Schedule adherence 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 automotive reporting takes longer than reviewing it does

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

Cost per unit is visible per site but not comparable between them

We work with automotive teams across Brisbane - Moorooka, Springwood, Zillmere and Acacia Ridge - 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 Automotive

Reporting time reduced across the engagement
Leadership now reviews performance from one trusted source
Manual pack preparation eliminated or significantly reduced

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 automotive 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 automotive 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 automotive 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.

Throughput, downtime and yield available without anyone assembling them first
One agreed definition of scrap and labour efficiency, holding across finance, operations and leadership
Less time spent preparing, checking and explaining automotive 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 automotive reporting

Automotive reporting can involve dealer or branch performance, stock, service operations, supplier reporting, and margin control across multiple systems.

That is the environment the reporting has to survive, so we build it around how automotive distribution and service 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 automotive 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.

Automotive reporting FAQs

Which systems can you connect Power BI to for automotive reporting?
The ones you already run. For automotive reporting that usually starts with ERP and finance platforms - Oracle, NetSuite, Pronto and MYOB Advanced - alongside operational and plant systems, data interfaces and files. Where a system has no usable API we work from scheduled extracts.
Which automotive reporting metrics do you model first?
We start with the numbers already argued about in your meetings, which for automotive reporting generally fall into operational performance, supply and service, financial impact. That means agreeing exactly what product profitability, OEE, throughput, downtime and yield 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 automotive 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 automotive 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 automotive distribution and service 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 automotive reporting to build it?
Enough to ask the right questions. Automotive reporting can involve dealer or branch performance, stock, service operations, supplier reporting, and margin control across multiple 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 automotive 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.