Technology reporting your leaders can trust — Power BI dashboards in Brisbane
Brisbane-based, operator-led reporting support for technology teams that need clearer KPIs, less manual reporting, and numbers the business can trust.
Live technology dashboard preview
A working illustration of the reporting we typically build for technology clients in Brisbane and Queensland. Numbers are illustrative — yours land in the same layout once we connect your data sources.
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Technology reporting in Brisbane and Queensland
Technology businesses usually need better visibility across product usage, support, delivery, MRR, pipeline, cost, and customer retention.
Deployment frequency, MRR and uptime are the measures that matter here, and they are scattered across Jira, HubSpot and SQL databases. The data usually exists; what is missing is one agreed definition of each metric and somewhere they can be read side by side.
We model those sources properly, document what each number means, and give software, product, and revenue teams reporting that holds up as the product and the team change around it.
The meeting this is built for
The leadership review meeting. Different teams bring different numbers from different systems. The first half of the meeting is spent reconciling data instead of making decisions. This reporting is built for that exact meeting - so the conversation starts with a single trusted view of performance and moves straight to action.
Who this reporting is built for
CEO / Managing Director
- Cares about
- MRR growth, churn, and operational efficiency
- Frustrated by
- product, revenue, and support data in separate tools
- Needs to decide
- investment priorities, pricing, and market strategy
CTO / VP Engineering
- Cares about
- delivery throughput, platform reliability, and technical debt
- Frustrated by
- engineering data in Jira/GitHub that does not feed into executive reporting
- Needs to decide
- sprint planning, architecture investment, and hiring priorities
Head of Product
- Cares about
- feature adoption, user engagement, and customer retention
- Frustrated by
- product analytics disconnected from revenue and support context
- Needs to decide
- roadmap priorities, feature investment, and sunset decisions
CFO / Finance Manager
- Cares about
- unit economics, cloud cost, and cash runway
- Frustrated by
- SaaS metrics requiring manual calculation from billing and usage data
- Needs to decide
- pricing, cost control, and financial forecasting
Head of Customer Success
- Cares about
- NRR, health scores, and expansion revenue
- Frustrated by
- customer data scattered across CRM, support, and product tools
- Needs to decide
- renewal strategy, upsell prioritisation, and intervention triggers
VP Sales
- Cares about
- pipeline health, deal velocity, and quota attainment
- Frustrated by
- CRM data that does not produce reliable pipeline analytics
- Needs to decide
- territory allocation, deal support, and forecasting accuracy
What's going wrong now
Engineering, product, and revenue data live in different tools.
Delivery pace is not connected to commercial outcomes.
Platform cost is tracked in finance, not alongside engineering metrics.
Customer health is assessed anecdotally, not from data.
Leadership lacks a single view of technology performance.
What changes after this is built
Common technology reporting problems
SQL databases and warehouse tables each hold part of the same answer and disagree on the total
Data freshness and platform utilisation 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 product, squad and environment
Review meetings lose time validating the data before the decision can start
Deployment frequency 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 technology reporting takes longer than reviewing it does
Product, engineering, support and revenue data use different definitions
Delivery pace and commercial performance cannot be seen together
What changes
What this work typically achieves
What that usually looks like in Technology
What people notice day to day
Used in every sprint review
Engineering metrics connected to revenue
Platform health checked daily by the team
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 technology reporting.
Product and platform systems
Commercial systems
Data interfaces
What we build for technology teams
Executive technology dashboards
A combined view of delivery, reliability, platform usage, and commercial performance.
Engineering throughput reporting
Track cycle time, deployment pace, backlog movement, and release reliability.
Support and service performance
Visibility across tickets, SLA performance, resolution times, and customer-impact trends.
Product and usage analytics
Usage, adoption, retention, and feature performance reporting linked to revenue context.
Cloud and platform cost reporting
Connect operational usage to cost trends and accountability.
Leadership scorecards
A practical monthly reporting rhythm for the technology leadership team.
Key technology KPIs and decision metrics
Engineering and delivery
- deployment frequency
- lead time for change
- cycle time
- backlog ageing
- defect escape rate
- release reliability
Commercial and customer
- MRR
- ARR
- churn
- activation rate
- customer growth
- support SLA
Platform and cost
- uptime
- incident volume
- cloud spend
- cost per environment
- data freshness
- platform utilisation
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.
Why Roar Data for technology reporting
Technology businesses usually need better visibility across product usage, support, delivery, MRR, pipeline, cost, and customer retention.
That is the environment the reporting has to survive, so we build it around how software, product, and revenue 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 technology 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.
Technology reporting FAQs
Which systems can you connect Power BI to for technology reporting?
Which technology reporting metrics do you model first?
Can you fix an existing technology Power BI setup rather than rebuild it?
Can you report across multiple products?
Do you need to understand technology reporting to build it?
Talk through your technology 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.
Our services
Power BI Consulting
Roar Data helps Australian organisations eliminate spreadsheet reporting, unify fragmented systems and deliver real-time executive, financial and operational dashboards using Microsoft Power BI.
Explore servicePower BI Managed Services
Ensure your dashboards stay accurate, secure and performance-ready with proactive Power BI monitoring, optimisation and continuous improvement.
Explore servicePower BI Training Brisbane
Practical Power BI training for Brisbane teams that need reports to be maintainable, commercially useful, and easier to run day to day.
Explore serviceOther industries
Manufacturing
Brisbane and wider Queensland manufacturing businesses often juggle ERP data, production systems, maintenance logs, quality records, and spreadsheet-based shift reporting across multiple teams. We help turn that fragmented reporting environment into something leadership and managers can use with more confidence.
Explore industryPharmaceuticals
Pharmaceutical reporting usually spans batch records, QA systems, validation documentation, ERP data, and finance reporting, with a high need for traceability and disciplined KPI definitions. We help turn that fragmented reporting environment into something leadership and managers can use with more confidence.
Explore industryFMCG & Consumer Goods
Queensland FMCG businesses need fast visibility across sales, inventory, production, distribution, and margin without waiting for month-end clean-up. We help turn that fragmented reporting environment into something leadership and managers can use with more confidence.
Explore industryAgriculture
Agriculture reporting across Queensland often spans sites, seasons, suppliers, logistics, and operational logs that are not naturally in one clean reporting structure. We help turn that fragmented reporting environment into something leadership and managers can use with more confidence.
Explore industry