AI-Ready Data, Minus the Headaches.

Our Managed Data Platform takes care of the heavy lifting in Microsoft Fabric – from security and governance to cost control and AI readiness. You get trusted data, faster time to value and the freedom to focus on what comes next.

How we help

Introducing Managed Data.

Getting Fabric running is one thing. Making it deliver value is another. Our Managed Data Platform simplifies the architecture, secures your data and sets up the medallion model (bronze, silver, gold) so your organisation can move from raw data to reliable insights and get to AI faster.

AI insights report

Data ready. People ready. AI outcomes delivered.

AI adoption is accelerating, but success isn’t keeping up. Across Australia, 76% of leaders admit their data isn’t AI-ready, leaving most projects stuck in pilot mode. The problem isn’t the technology – it’s the foundations: trusted data, governance and a culture ready to act.

In this report, we share what we’ve learned first-hand from deploying AI across our own business and with our customers on what works, what doesn’t, and how to close the gap between ambition and real outcomes.

In this report, you’ll learn:

AI won’t wait, and neither should you. The organisations that are pulling ahead aren’t waiting for perfect data. They’re starting with what they’ve got, learning fast, and building from there.

The Fabric Readiness Gap.

AI doesn’t stumble on algorithms, it stumbles on scattered, inconsistent data. Microsoft Fabric offers a single platform to unify data, analytics and AI, but like any powerful tool, its value depends on how you set it up and how you manage it. Without the right foundations in place:

Value

Data Foundations You Can Trust.

We handle the heavy lifting in Microsoft Fabric so you can focus on insights, not infrastructure.

Simplified Management

One platform, managed end-to-end. We take care of the heavy lifting so Fabric works the way it should – consistent, governed and easy to run.

Optimised Spend & Scale

Stay on top of usage with built-in monitoring and elastic capacity. Scale when you need to, without runaway costs.

Security From Day One

Guardrails, compliance, and identity controls are already baked in. Your data stays protected, wherever it lives.

Faster Time-to-Value

Move from deployment to insights without the false starts. With the right foundations, AI starts delivering value sooner.

Features

Making Data and AI simple.

Discover everything you need to turn your data into real operational value.

Progress You Can Manage

Our simple bronze, silver, gold medallion model takes your data on the journey from raw and scattered to refined and trusted – making progress clear and achievable.

Always-on Data Flows

We build and run the pipelines for you, with monitoring, alerts and auto-fixes to keep your data flowing.

Governance From Day One

Policies, catalogues and guardrails are baked in from day one with Microsoft Purview, so you can trust your data.

Secure Access, Sorted

Entra ID, conditional access and MFA mean the right people, and only the right people, can reach your data.

Control the Spend

Stay on budget with usage monitoring, capacity scaling and recommendations that keep costs in check.

AI Without the Wait

Your platform is prepared for AI from the start, with semantic models, vector search and Copilot Studio enabled.

Use Cases

Built Around Your Needs.

Explore the ways organisations are using our Managed Data Platform to move faster, cut costs and unlock AI.

AI Pilots That Don’t Stall

Start small with confidence. Get the right foundations in place so your AI projects scale smoothly.

One Platform, Not Many

Consolidate scattered systems into a single governed Fabric environment — cutting cost and complexity.

Insights Without the Lag

Turn streaming data into real-time dashboards and automated responses.

Secure Enough for the Toughest Workloads

Support compliance-heavy use cases with built-in guardrails, Purview catalogues and sovereign hosting.

Our Advantage

The Data Partner Australian Organisations Trust.

As Australia’s leading Microsoft Azure Expert MSP, we combine deep Microsoft Fabric knowledge with hands-on data insight.

Proven
Expertise

As Australia’s leading Microsoft Azure Expert MSP, we combine deep Microsoft Fabric knowledge with hands-on data insight.

Strategic
Partnerships

Our ecosystem includes Microsoft, Dell and a broader network of trusted partners – so your project has visibility and traction.

Australian Support Excellence

Our local team is on call 24×7, with an NPS score of +91 that reflects support grounded in the realities of Australian business.

Security & Compliance Focus

From ISO 27001 to PROTECTED certification, we meet the highest standards for sensitive and regulated workloads.

We partner with top tech providers to support every stage of your data and AI journey.

Get in touch

Start building on the right foundations.

Talk to our team about a Managed Data Platform that’s secure, scalable and AI-ready.

Managed Data Platform FAQs.

What is Microsoft Fabric and how does it work in data and analytics?

Microsoft Fabric is Microsoft’s all-in-one platform for data, analytics and AI. Instead of juggling data lakes, warehouses and reporting tools, you get one place to bring it all together. That means fewer moving parts, simpler management and a faster path from raw data to insights.

What is a Managed Data Platform and how does it work with Microsoft Fabric?

A Managed Data Platform is Fabric with the hard parts taken care of. We set it up, secure it, keep costs in check and run it day-to-day. Your team gets trusted data – and more time to use it for reporting, dashboards and AI.

Do I need a data platform before starting an AI or Copilot project?

You can start experimenting without one, but many AI pilots stall when the data isn’t ready. A Managed Data Platform gives you clean, secure data from the start, so tools like Copilot deliver results you can trust. It’s the difference between pilots that stall and AI that scales.

Can I migrate from my existing data warehouse (SQL, Synapse, Snowflake) into Fabric?

Yes. Fabric is designed to work with common data warehouses and cloud services. We help plan and run migrations from SQL, Synapse, Snowflake and more – keeping data secure and your day-to-day operations running smoothly.

What is the main purpose of Microsoft Fabric?

Fabric is built to make data simpler. It pulls together storage, pipelines, analytics and AI into one platform so you don’t waste time stitching systems together. The aim is less plumbing, more value.

How does Managed Fabric help control costs and scale with demand?

Fabric uses elastic capacity so you only pay for what you use. We add monitoring, alerts and tuning to stop costs creeping up. The result: you scale when you need to, without the budget surprises.

What’s the difference between Microsoft Fabric and Macquarie Cloud Services’ Managed Fabric service?

Fabric is the platform. Managed Fabric is the platform done right. We handle the design, setup and ongoing management – from pipelines and governance to security and cost control. You get Fabric working the way it should, backed by local experts.

How does Macquarie Cloud Services simplify Fabric setup and provide local support?

We get the architecture and security right from day one, so Fabric is ready to use straight away. From there, our Australian engineers are on call 24×7 to keep things running. With an NPS of +91, you know help is close when you need it.

How does Managed Fabric ensure data security and compliance in Australia?

We build in security and compliance from the start – aligned to APRA, ISM and the Essential Eight. Features like encryption, conditional access and monitoring are standard, and everything is backed by sovereign hosting in Australia. It’s compliance you can rely on, without the overhead.

How does Managed Fabric help unify data and enable AI adoption?

By bringing scattered systems into one governed environment, Fabric makes it easier to trust and use your data. With our managed service, AI tools like dashboards, Copilot or custom models can access consistent, high-quality inputs. That’s how you move from experiments to real AI in production.