Data engineering and analytics · Australia
A data platform your team trusts
We connect Xero, Shopify, HubSpot and your own databases into one governed warehouse, define the numbers your business runs on, and build dashboards that end the arguments about whose spreadsheet is right.
Signs you've outgrown spreadsheets
Spreadsheets get most businesses a long way. These are the signs they've started costing more than they save.
Month-end takes days
Someone exports from five systems, pastes into a workbook and hopes nothing changed. The report is out of date by the time it's read.
Two numbers for the same thing
Marketing's revenue doesn't match finance's revenue, and the meeting is spent arguing about whose figure is right.
Questions nobody can answer
Margin by product, channel or customer. Which customers come back. What a lead from each channel is actually worth.
One person holds it together
The workbook only works because one person knows its quirks, and they'd like to take a holiday.
What you get
A small, well-documented platform sized for your business, not a data lake you'll never fill.
- Automated pipelines from your source systems: accounting, e-commerce, CRM, marketing and databases
- A cloud data warehouse (Snowflake, BigQuery or Amazon Redshift), chosen on cost and fit
- dbt models with automated tests, so bad data is caught before it reaches a report
- One written definition for each key metric: revenue, margin, CAC, churn and the rest
- Dashboards for leadership and each team, in the BI tool you prefer
- Access controls and data handling suitable for the Privacy Act
- Documentation and training so your team can add the next report themselves
How it runs
We get one trusted report into people's hands within the first few weeks, then build out from there.
Audit
We review your systems, data quality and the reports people rely on today, and agree the five to ten metrics that matter most.
One week · $4,900Foundation
Pipelines, warehouse, tested models and the first dashboards, all in your own accounts. Weekly demos throughout.
Four to six weeks · fixed quoteExpand and hand over
More sources and reports as needed, then documentation and training so your team owns the platform.
Included in every buildWhat we build for
Typical first projects, by team.
Finance
An automated month-end pack, cash flow forecasting, and true margin by product or job after shipping, fees and returns.
E-commerce and marketing
Cohort retention, customer lifetime value, and acquisition cost by channel that matches the finance numbers.
Operations
Inventory health, fulfilment times, supplier performance and the early warnings that stop stock-outs.
SaaS and subscriptions
MRR, churn, expansion and product usage in one place, ready for the board pack and investor updates.
Tools and platforms we use most
Pricing
Fixed prices for each stage, agreed before we start.
| Option | Price |
|---|---|
| Data auditOne week. Systems and data review, metric definitions and a fixed quote for the build. | $4,900 |
| Platform foundationFour to six weeks. Pipelines, warehouse, tested models and first dashboards. | from $22,000 |
| Additional sources and reportsAdded to an existing platform. | fixed quote |
| Ongoing supportA named engineer for new reports, sources and monitoring. | from $3,500/mo |
Most builds land between $22,000 and $60,000, depending on the number of sources. We estimate warehouse and tooling costs before you commit; for most small and mid-sized businesses they are modest.
What this looks like in practice
An illustrative example of a typical engagement.
Common questions
Which data warehouse should we use?
It depends on your volumes, the tools you already use and who will maintain it. We recommend one in the audit and explain the trade-offs. We have no reseller arrangements, so the recommendation is about fit.
Do we need to hire a data engineer afterwards?
Usually not straight away. We build the platform so an analyst or a technical generalist can maintain it, and train them to do so. When you outgrow that, we'll help you hire.
We already use Power BI. Can you work with it?
Yes. We'll connect it to the new warehouse and rebuild your reports on trusted, tested data. You keep the tool your team knows.
How do you handle customer personal information?
We bring in only the fields you need, restrict access by role, and document where personal information is stored, in line with the Australian Privacy Principles.
Is this a foundation for AI later?
Yes. Clean, well-described data is the most common thing missing from AI projects. A good platform makes later AI work faster and cheaper.
Often paired with
AI and automation
Assistants, agents and document pipelines built on your own data, measured for accuracy and handed over running in your cloud.
Learn more →AWS · Terraform · FinOpsCloud and DevOps
AWS architecture, migration and cost reduction, with infrastructure as code, CI/CD and monitoring set up once and explained properly.
Learn more →Architecture · Hiring · Due diligenceFractional CTO
Senior technical leadership a few days a month: architecture, hiring, vendor management and a roadmap your board can read.
Learn more →Get one set of numbers everyone trusts
A one-week data audit for $4,900 tells you what's broken, what it would take to fix, and gives you a fixed quote for the platform.