Proof
Over 15 years building systems and workflow automation that works.
About the founder
Fabricio Cardoso
- Over 15 years: building systems companies trust
- Experienced in: data platforms, reporting and BI for finance, sales and marketing, turning complex requirements into simple solutions people use
- Delivered for: Macquarie, Channel Nine, Velocity Frequent Flyer, Sydney Metro, Art Gallery of NSW and ESR
Trusted. In their words.
Client review“Fab has been instrumental in modernising and automating our reporting.”
Client review“I would recommend any organisation to look into data management and analytics with Fabricio. An investment that will pay dividends.”
Recommendation“Any organisation looking for a high-performing data and analytics professional would be fortunate to have him on their team.”
Client review“Fab has been instrumental in modernising and automating our reporting.”
Client review“I would recommend any organisation to look into data management and analytics with Fabricio. An investment that will pay dividends.”
Recommendation“Any organisation looking for a high-performing data and analytics professional would be fortunate to have him on their team.”
Client review“Working with Fab Solutions transformed how we approach data across our organisation.”
Client review“We can now access actionable insights on a daily basis without labouring through manual processes and legacy tools.”
Client review“Working with Fab Solutions transformed how we approach data across our organisation.”
Client review“We can now access actionable insights on a daily basis without labouring through manual processes and legacy tools.”
What we take off your plate
The data jobs that repeat every week. Almost instant once it is built.
More details
How we worked it out: the jobs a week, minutes before and after, 80% of them using it, less the upkeep, valued at $115,000 a year per person fully loaded. A person still checks the result, so we count a few minutes for that. Your audit swaps in your real numbers. A person approves every change to who can see what, and every capacity change.
- Manual data loads2.1 h (34%)
- Finding data across systems2 h (33%)
- Access requests1.2 h (20%)
- Refresh failures chased0.8 h (13%)
5 x 80% = 4 a week, x 39 minutes saved = 156 minutes, less 30 of upkeep = 2.1 hours a week
10 x 80% = 8 a week, x 19 minutes saved = 152 minutes, less 30 of upkeep = 2 hours a week
8 x 80% = 6.4 a week, x 14 minutes saved = 90 minutes, less 20 of upkeep = 1.2 hours a week
3 x 80% = 2.4 a week, x 29 minutes saved = 70 minutes, less 20 of upkeep = 0.8 hours a week
How we build it
Microsoft Fabric, on the tools you already run.
- Fabric set-up and migration. From older SQL Server, Synapse or Power BI Pro set-ups to one Fabric capacity.
- OneLake and lakehouse design. Medallion layers, shortcuts, governance and security designed for how your organisation works.
- Direct Lake semantic models. Power BI models that read straight from the lakehouse, fast and current.
- Real-time analytics. Eventstreams, eventhouses and KQL databases for live operational data.
- Capacity sizing and cost control. The right F SKU, pause and resume schedules, and workload monitoring, so you pay for what you use.
Microsoft Fabric
Power BI
Microsoft Azure
SQL ServerApache SparkPythonWant all your data in one place?
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