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

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

Live retail dashboard preview

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

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Retail reporting in Brisbane and Queensland

Retail reporting in Brisbane and Queensland typically spans POS data, inventory, eCommerce, workforce planning, loyalty, and finance across multiple systems that rarely reconcile cleanly without effort.

Service performance here comes down to revenue per unit, bookings and labour cost, spread across CSV files, CRM systems and Xero. Each system is right about its own part and none of them agrees on the total, so the reporting job becomes reconciliation rather than analysis.

We join those sources into one model, settle the KPI definitions with the people accountable for them, and give retail, merchandise, and commercial teams numbers current enough to act on while the week is still in play.

The meeting this is built for

The Monday morning trade review. The store manager has Saturday's sales from the POS. Merchandise has stock levels from the inventory system. Marketing has campaign spend from the digital platform. The head of retail cannot see comp sales, conversion, margin, and stock turn by store without manual assembly. This reporting is built so the trade meeting starts with a single view of store performance - and the conversation moves straight to actions.

Who this reporting is built for

Head of Retail / GM

Cares about
store-level performance, comp sales, and margin by category
Frustrated by
POS, inventory, and finance data that require manual stitching
Needs to decide
store investment, range decisions, and operational improvements

Merchandise / Category Manager

Cares about
sell-through, stock turn, and range profitability
Frustrated by
buying and sales data in different systems with different definitions
Needs to decide
buy quantities, markdown strategy, and range composition

Store Manager

Cares about
daily sales, conversion, and team performance
Frustrated by
no real-time view of store KPIs without manual reporting
Needs to decide
floor coverage, promotional execution, and customer service priorities

CFO / Finance Manager

Cares about
gross margin, shrinkage, and occupancy cost per store
Frustrated by
month-end consolidation from multiple POS and inventory platforms
Needs to decide
store viability, cost management, and capital allocation

eCommerce / Digital Manager

Cares about
online conversion, channel contribution, and fulfilment cost
Frustrated by
online and in-store data sitting in separate analytics tools
Needs to decide
digital spend, fulfilment strategy, and channel mix

Supply Chain / Inventory Manager

Cares about
stock availability, replenishment accuracy, and DC throughput
Frustrated by
no clear view connecting store demand to supply chain execution
Needs to decide
replenishment parameters, DC operations, and supplier performance

What's going wrong now

Store performance data lives in the POS. Inventory lives in the WMS. Finance lives in the ERP.

Comp sales are calculated manually from multiple data exports.

Markdown decisions are made without real-time margin visibility.

Stock turn by category requires a manual report that takes half a day.

The head of retail cannot compare stores without someone building a custom report.

What changes after this is built

Store performance is visible daily - sales, conversion, margin, and stock turn - in one view.
Markdown decisions are made with real-time margin visibility.
Comp sales are calculated automatically and consistently.
The head of retail can compare any store against any other in seconds.
Merchandise decisions are informed by actual sell-through data, not lagging reports.

Common retail reporting problems

Excel workbooks and CSV files each hold part of the same answer and disagree on the total

Pick accuracy and delivery performance 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 branch, venue, territory and team

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

Complaint rate 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 retail reporting takes longer than reviewing it does

Gross margin is hard to compare across locations on a like-for-like basis

Multiple operational platforms create the same manual reporting twice

We work with retail teams across Brisbane - Chermside, Carindale, Indooroopilly and Upper Mount Gravatt - 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 Retail

Store-level margin reporting automated across all locations
Stock turn visible by category and location daily
Comp sales reporting available same-day instead of next-week

What people notice day to day

Store managers check conversion before every floor briefing

Merchandise team uses stock turn data in every buying meeting

Head of retail opens the dashboard before every weekly trade call

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 retail reporting.

Operational platforms

CRM systemsbooking systemsPOS platformsrostering systemsscheduling tools

Commercial and finance systems

XeroMYOBNetSuiteDynamics 365sales exportssupplier data

Files and connectors

Excel workbooksCSV filesAPIsSQL databasesSharePointPower BI dataflows

What we build for retail teams

Venue, branch, or site dashboards

Compare service, labour, utilisation, and profitability across locations.

Sales and booking reporting

A clearer view of demand, conversion, channel performance, and customer mix.

Labour and utilisation dashboards

Understand staffing efficiency, roster pressure, and service capacity.

Customer and service reporting

Track complaints, service levels, volume, and operational quality.

Revenue and margin dashboards

Connect activity volume to cost, pricing, and profitability performance.

Management review packs

Make weekly and monthly reporting faster to prepare and easier to use.

Key retail KPIs and decision metrics

Demand and service

  • bookings
  • occupancy
  • utilisation
  • service level
  • customer volume
  • repeat activity

Labour and operations

  • labour cost
  • roster efficiency
  • time to serve
  • pick accuracy
  • delivery performance
  • complaint rate

Commercial results

  • gross margin
  • revenue per unit
  • average transaction value
  • cost to serve
  • channel mix
  • budget variance

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.

Repeat activity, labour cost and roster efficiency available without anyone assembling them first
One agreed definition of time to serve and pick accuracy, holding across finance, operations and leadership
Less time spent preparing, checking and explaining retail reporting
A calmer rhythm around the Monday trading review, the roster cycle 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 retail reporting

Retail reporting in Brisbane and Queensland typically spans POS data, inventory, eCommerce, workforce planning, loyalty, and finance across multiple systems that rarely reconcile cleanly without effort.

That is the environment the reporting has to survive, so we build it around how retail, merchandise, and commercial 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 retail 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.

Retail reporting FAQs

Which systems can you connect Power BI to for retail reporting?
The ones you already run. For retail reporting that usually starts with operational platforms - booking systems, POS platforms, rostering systems and scheduling tools - alongside commercial and finance systems, files and connectors. Where a system has no usable API we work from scheduled extracts.
Which retail reporting metrics do you model first?
We start with the numbers already argued about in your meetings, which for retail reporting generally fall into demand and service, labour and operations, commercial results. That means agreeing exactly what budget variance, bookings, occupancy, utilisation and service level 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 retail 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 retail 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 branches?
Yes - comparing across branches, venues, territories and teams is one of the more common reasons retail, merchandise, and commercial 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 retail reporting to build it?
Enough to ask the right questions. Retail reporting in Brisbane and Queensland typically spans POS data, inventory, eCommerce, workforce planning, loyalty, and finance across multiple systems that rarely reconcile cleanly without effort. Reporting that ignores that produces technically correct dashboards nobody opens, so we start in your meetings rather than in Power BI.

Talk through your retail 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.