Platforms · Microsoft Fabric
Microsoft Fabric consultants for what happens before the report.
Fabric makes it easy to land data and just as easy to leave it in a shape nobody can reconcile. We build the layers underneath the report, from ingestion into OneLake through to the model Power BI reads.
What we connect it to
What we do
The three services, on Microsoft Fabric.
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Land CRM and ERP data in OneLake once
Pipelines and Dataflows Gen2 pull from Salesforce, NetSuite and the line-of-business databases into OneLake on the cadence the business actually reads, written so a re-run reconciles rather than appends. Shortcuts replace the copies people keep making, so one physical landing serves every workspace.
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Build the medallion layers, not just a lakehouse
Bronze holds what arrived, silver holds it conformed, gold holds what the business has agreed to call a customer or an order. Warehouse or lakehouse gets chosen on how the data is queried rather than on habit, and the semantic model is built so Direct Lake stays direct instead of quietly falling back to import.
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Keep capacity and refreshes from becoming the problem
Fabric bills by capacity, so a runaway notebook and a refresh nobody scheduled land on the same invoice. We attribute the capacity units to the workloads consuming them, move the heavy work off the interactive path, and leave your team the monitoring and the runbooks to hold it.
Proof
Patterns we have already delivered.
Anonymised accounts of work our principals delivered in previous roles. These are the patterns that come up on Microsoft Fabric in nearly every scoping call.
Governed by design
One governed home for your data
How does data from every system land somewhere the whole business can trust?
The result
One governed home for every data feed
Read the case study
One version of the truth
One customer record across every system
Why does every system hold its own version of the customer?
The result
One customer record read by every system
Read the case study
Grounded answers
AI answers grounded in your data
How do people ask the business questions without the AI inventing numbers?
The result
Zero numbers invented instead of retrieved
Read the case study
Common questions
What buyers ask before they call us.
How does a Microsoft Fabric engagement usually start?
With a fixed discovery of two to three weeks that maps your sources against the workspace layout, drafts the ingestion contract and bands the effort. Where the build is already defined we begin at scoped delivery instead.
Should we use Fabric, Databricks or Snowflake?
Whichever suits your team and what you already run. We are not sponsored by any vendor, so that answer earns us nothing either way. Fabric tends to win where Power BI and Microsoft identity are already the centre of gravity.
How is the work priced?
Per engagement rather than from a rate card. A discovery is a fixed fee for a time-boxed piece of work. A scoped delivery carries a fixed shape and a fixed price agreed at the start, so the number does not move as we go.
Are you certified in Microsoft Fabric?
No. We hold no Microsoft Fabric certification and no vendor sponsorship, so nothing we recommend earns us anything beyond the engagement. What we bring is delivery history on OneLake ingestion, medallion layers and semantic models, alongside the Azure and Databricks certifications the team does hold.
Tell us what’s not right between your systems.
No obligation, no pitch deck. We reply within one business day.
Location
Brisbane, QLD. Working across Australia.
Independent
The people who scope the work build the work.