Vantage Analytics turns your sales, customer and operations data into three or four charts you can actually act on — built in Power BI, explained in plain English, no jargon required.
Most engagements start with one of these — and often lead into another once the first answer raises a new question.
Sales, profit and operational data cleaned, modelled and turned into the handful of numbers that actually drive your decisions — not a 40-tab spreadsheet nobody opens twice.
Live, interactive dashboards — not static exports. Filter by month, region or product yourself, refreshed on a schedule so you're always looking at current numbers.
Forecasting, churn prediction, demand modelling — built on your own data, not a generic template. Where a dashboard shows what happened, a predictive model shows what's likely to happen next.
Courses for data analysts and teams — from a half-day dashboard walkthrough to a full advanced analytics program. See training packages below.
Delivered on-site or remote, for individual analysts or a whole department — in banking, healthcare, retail, logistics, or any organisation working with data. Content is tailored to your industry and existing tools, not a generic slide deck.
A half-day session for teams who already have a dashboard but don't fully use it. How to read it, filter it, and ask it the right questions.
Hands-on training in data modelling, DAX and dashboard design — for analysts who need to build reports themselves, not just read them.
A deeper course covering forecasting, statistical fundamentals and applied predictive modelling using Python — for analysts ready to move past descriptive reporting.
A tailored curriculum built around your organisation's own data, tools and skill gaps — for a bank's risk team, a hospital's clinical data unit, or any department working with real numbers. Scoped after a short assessment.
A typical first engagement, start to finish.
What's the business, what data already exists, and what decision are you actually trying to make. No obligation, no jargon.
A short written proposal — what you'll get, by when, and what it costs. No surprise invoices later.
Your data is cleaned, checked for errors, modelled, and built into a dashboard — with regular check-ins, not a black box until the end.
A live walkthrough of every chart, what it means, and how to use it — plus a written summary you can keep and share.
Built from real retail and customer datasets, end to end — cleaning, modelling and the dashboard itself.
A full profitability review across regions and product categories on close to 10,000 retail transactions. The standout finding: heavy discounting on one furniture category was erasing its entire profit — a pattern invisible in the raw spreadsheet, obvious in one chart.
A segmentation pass across 2,200+ customer records — education level, household status, spending by category — to see who actually buys, and who a recent campaign reached. The response rate became a concrete number to improve, not a guess.
The method above — clean the data, find the number that matters, build the dashboard around it — isn't specific to retail. It applies anywhere decisions are currently being made on gut feel instead of numbers.
Admissions trends, bed occupancy, treatment cost and outcome patterns.
Loan approval patterns, credit risk segments, portfolio performance.
Sales seasonality, product profitability, customer segmentation.
Client profitability, utilisation, pipeline and capacity planning.
You work directly with the team that scopes, builds and delivers your dashboard — not a rotating account team or an outsourced middle layer.
Every dashboard is built on checked, clean data — translated into plain findings you can act on in a five-minute read.
Fixed-scope, fixed-price projects sized for SMEs — not enterprise engagements with a six-month lead time.
Vantage Analytics is a Melbourne-based data and AI consultancy. We work lean and hands-on by design — every engagement is scoped, built and delivered directly by the team, with no layer of account managers between you and the people who actually built your dashboard.
Our goal is never a dashboard for its own sake. It's the two or three sentences at the end of the project that start with "so what this actually means for your business is..." — the number that changes what you do next.
Whatever you already export from your point-of-sale, accounting software, or a simple spreadsheet is usually enough to start. If you're not sure what you have, the first conversation is exactly where we work that out together.
No. Dashboards are delivered as a live link you open in any web browser — nothing to install, and it works on desktop or mobile.
A first dashboard project typically runs one to three weeks depending on how much cleaning the data needs and how many views you want — you'll get a specific timeline in the proposal before anything starts.
Most first projects are fixed-price, quoted after the initial conversation so there are no surprises. Ongoing dashboard maintenance can move to a simple monthly retainer once the first build is done.
Yes — data handling and confidentiality terms are set out in writing before any files are shared, as standard practice on every engagement.
No pitch deck required — a rough sense of the problem and what data you've got is plenty to start with.