Implement
Power BI consulting for reporting your leaders can trust
If month-end still means exports, lookups and a pack someone rebuilds by hand, the problem isn't your people. We build Power BI reporting on agreed definitions and a governed foundation, so the numbers arrive on time and survive questioning.
Not sure where to start? The Data & AI Readiness Assessment reviews your systems, data and access and builds a justified programme of work: AU$5,000, fixed price, credited to the build.
You leave with a clear next step, not a proposal to sign.
Why teams come to us
The reporting problems we fix
Most of these look like tooling problems. They're actually definition, ownership and data-layer problems wearing a Power BI costume.
Manual reporting packs
The month-end pack exists because one person rebuilds it by hand, export by export, every single month.
Slow month-end
Numbers land in week two, so the meeting discusses what happened instead of what to do next.
Conflicting metrics
Sales and finance open two dashboards and get two revenue figures. Trust erodes one meeting at a time.
Fragile models
A source column changes and three reports quietly break. Nobody is sure which numbers are still right.
Dashboards no one uses
Reports were built around whatever data was available, not the decisions people actually make on a Tuesday morning.
Where Power BI is the right tool
We'd rather tell you this before you spend than after. Power BI is sometimes the whole answer; sometimes it's the visible tip of a data-layer problem.
Power BI is enough when…
- Your data sources are manageable and reasonably clean
- The main gap is trusted, decision-ready reporting
- You need governed definitions and reliable refresh
You may need Fabric when…
- Data is fragmented across many systems that don't reconcile
- You need a governed foundation for AI as well as reporting
- Reporting keeps breaking because the data layer underneath is unstable
The outcome
Reporting people trust and actually use
The test is simple: do leaders open the report, and do they act on it without re-checking the numbers first?
Agreed KPIs
Definitions agreed with finance and operations once, then governed, so the argument doesn't restart every month.
Dependable refresh
Data that updates itself on schedule. The pack is ready before anyone asks for it.
Decision-ready views
Reports designed around the decision they support: pricing, staffing, stock, cash.
Less manual work
Manual consolidation disappears. In one client's words, the hours saved were "countless".
Real adoption
Reports your team relies on, plus the training to extend them without calling us.
What DataMust delivers
From requirements to adoption
Scoped delivery, not an open-ended engagement. Senior people do the work, and handover is part of the job.
Requirements & sources
The decisions to support and the systems that feed them, mapped before anything is built.
Models & measures
Certified semantic models and reliable measures on a governed foundation.
Reports & dashboards
Decision-led report design, not data dumps with a colour scheme.
Access & release
Row-level security, a workspace and access model, and a release process.
Documentation
Documented models with named owners, so the next change isn't archaeology.
Enablement
Training so your team extends the reports themselves.
Where it lands
Reporting organised by the decision, not the department
A dashboard earns its place by changing what someone does next. These are the decisions mid-market teams most often ask us to support.
Cash & finance
Cash position, debtor risk and margin visible weekly, not at month-end.
Sales & pipeline
Pipeline coverage and win rates by segment, straight from your CRM.
Operations
Throughput, utilisation and bottlenecks while there's still time to act.
Inventory & supply
Stock cover, ageing and supplier performance across sites.
People & workforce
Capacity, overtime and leave exposure before the roster locks.
Board & executive
One monthly view leaders trust enough to stop bringing their own spreadsheets.
How it runs
Three ways in, one delivery discipline
Free consultation
Thirty minutes to identify the decision that needs better reporting and whether the data underneath can support it. We'll say plainly if it can't yet.
Scoped build
A fixed-scope reporting engagement when your sources are ready, or reporting discovery first when definitions and data need sorting.
Adopt and extend
Training, documentation and handover. Your team owns the reports and extends them without us.
Proof
What clients say about the reporting we build
“DataMust built a new data warehouse for us, connecting siloed systems into an Azure Synapse database. They also developed Power BI dashboards, providing clear insights across our key systems. Their expertise has been a game-changer for our business.”
Further reading
Plan the reporting and licensing decision
Power BI pricing and licensing
Understand per-user licensing, capacity and the delivery work that determines the real reporting cost.
Read the guideMicrosoft Fabric vs Power BI
Work out whether the current requirement belongs in the reporting layer or the governed data foundation underneath it.
Read the guideFAQ
Power BI questions
Can you work with our existing reports?
What about licensing?
Which data sources can you connect?
Do we need Microsoft Fabric?
What happens when a report breaks after handover?
Will our team be able to maintain it?
Implement
Discuss the reporting decision you need to improve
Book a free 30-minute Data & AI consultation. Bring the report you trust least; we'll tell you what it would take to fix it.
You leave with a clear next step, not a proposal to sign.