Data Intelligence
Power BI that earns its place in the boardroom.
We design and ship Power BI suites that hold up under exec scrutiny — and we diagnose existing tenants that have stopped paying their way.
The work
From "the numbers are stale" to live decision support.
Most BI engagements we walk into are not failing because the tooling is bad. They are failing because nobody has connected the data layer cleanly to the source systems, the semantic model is doing implicit conversions in three different places, and refreshes break on every long weekend because nobody documented the gateway.
We start by getting the data layer right — Azure SQL or Fabric Warehouse, modelled properly, refreshing reliably. Then we build the executive surface on top: P&L, gross margin, PPV, OEE, demand variance. Each report tied to a decision somebody actually makes.
We have done this for ASX-adjacent FMCG manufacturers, regional distributors, and Australian food production sites. Our diagnostic engagements have rescued tenants where two prior consultancies had given up.
Capabilities
What we build inside this practice.
Executive reporting suite
Single-pane-of-glass P&L, revenue, margin, and category mix — refreshing every 15 minutes off the live ERP. Replaces month-end manual cycles.
PPV / MPV / variance reporting
Purchase price variance, manufacturing price variance, and budget vs actual analytics surfaced by product line, supplier, and category. The reports your finance team actually wants.
Demand planning & forecasting
Forecast-vs-actual trend lines with statistical methods (Holt-Winters, ARIMA, or ML where it earns its keep). We do not invent demand from line-of-best-fit theatre.
Automated alert systems
Power Automate flows that trigger from BI thresholds — out-of-spec PPV, demand collapse, low cold-chain compliance. Email, Teams, SMS, or push to ServiceNow.
BI system diagnostics
Audit of an existing Power BI tenant. Dataset and gateway health, refresh failure root cause, semantic model assessment, RLS review, capacity sizing. Comes with a written remediation plan.
Custom Power BI visuals
When the marketplace visuals do not cut it — bespoke React + D3 visuals packaged as PBIVIZ. Used sparingly; usually for plant-floor or operations control views.
Stack
What we work with.
We are deeply specialised on the Microsoft data stack — Power BI is the centre of gravity — but we model the warehouse layer cleanly so the same data is reusable for Python, R, Tableau, or whatever comes next.
- Power BI Desktop, Service, Premium / Fabric capacity
- Azure SQL · SQL Server · Synapse · Fabric Warehouse
- Azure Data Factory · dbt · Python ETL
- DAX · Power Query (M) · T-SQL
- Power Automate · Power Apps (where it earns its keep)
- Source systems: Pronto · Infor LX · SAP B1 · PCG · NetSuite · custom
FAQ
Frequently asked
Do you build Power BI from scratch, or fix what's already there?
Both. Greenfield Power BI implementations on Azure SQL / Fabric / SQL Server are our core work, but a lot of engagements start with us diagnosing an existing tenant — broken refreshes, datasets nobody understands, semantic models that don't match the source data. We charge separately for that diagnostic so you only pay for build once we both agree on the scope.
We're not on Microsoft today. Can you still help?
Yes. We've shipped reporting on top of SAP B1, Pronto, Infor LX, PCG, NetSuite, and bespoke databases. Power BI is the most common front-end because of its licence economics and AU enterprise penetration, but the data layer underneath can be anything that exposes SQL or an API.
What does a typical engagement look like?
Two-week discovery (interviews, source-system audit, KPI definitions, success criteria). Then a fixed-scope build sprint of 4–8 weeks for the first dashboard set, with weekly demos. After go-live we offer a retainer for enhancements and break-fix, or hand it cleanly to your in-house team — whichever you prefer.
Can you work with our existing BI team?
Often. We've come in as a senior pair-of-hands when the in-house team is stretched, or as a specialist for things like DAX optimisation, row-level security architecture, and semantic model refactors. We don't need to own the work; we just need to be useful.
How do you price it?
Fixed-price for defined deliverables (discovery, dashboard build, integrations). Time-and-materials for ongoing enhancement or retainer support. We don't bill by the hour for things that should be quoted, and we don't run open-ended consultancy.
Related
Other things we do
ERP & Systems Integration
End-to-end ERP integration across the systems that run your business — plus custom-built connectors for anything that does not ship with one. We bridge the platforms your team already relies on.
Explore Product EngineeringSaaS & Web Development
Concept to cloud. We architect, build, and ship scalable SaaS platforms, web applications, and mobile experiences with clean code and delivery that does not drag.
Explore Industrial TechIndustrial & Operational
Intelligent software for the factory floor and operational teams — from checkweigher systems to roster management tools built around how your people actually work.
Explore
Need clarity in your data?
Tell us what you wish you could see — or what reporting cycle is eating your week. We'll tell you what it would take to fix.