Modern Data Platform on Microsoft Fabric
One governed data estate. Built on Fabric. Ready for AI.
Agile Insights unifies your data on Microsoft Fabric and Azure so every report agrees, every domain owns its data, and your AI workloads run on a foundation you can trust. Production platform in weeks, governance from day one, and a clear path to Azure AI Foundry and Copilot.
Microsoft funding may be available for eligible organisations. Subject to eligibility and Microsoft approval, we manage the application.
3
Microsoft Solutions Partner designations
Data and AI, Infrastructure, Digital and App Innovation
2
Advanced Specialisations
Analytics on Azure and AI Platform on Azure
150+
Fabric engagements delivered in production
Across government, FSI, higher education and enterprise
AU
Australian owned, ISO 27001 certified and SOC 2 attested
Security cleared resources for government work
Data platforms delivered for
- NSW DPHI
- Central Coast Council
- Tourism Australia
- Domino's
- Dulux
- Sydney Airport
- Queensland Government
- Blackmores
- West Gate Tunnel
What is holding you back
Fragmented data is now an AI problem, not just a reporting problem.
Every organisation we meet wants Copilot, agents and predictive models. Very few have the governed, well modelled data those things need. The symptoms are familiar.
Six systems, six versions of the truth
Data sits in ERP, CRM, finance, spatial and line of business systems with no shared definitions. Every meeting starts with whose number is right.
Reports take weeks, not hours
Business teams queue for engineering. Engineering is stuck maintaining legacy SQL, Synapse or on-premises warehouses that were never designed for self-service.
Costs keep climbing
Legacy licences, duplicated pipelines, hardware refresh cycles and unmanaged cloud spend. Consolidation is the fastest lever most organisations have not pulled.
AI pilots that never reach production
Without lineage, quality and access controls, every AI initiative becomes an isolated experiment. Trust is the constraint, not the model.
Three ways in. One platform.
We meet your estate where it is today. Every path lands on Fabric.
Aligned to Microsoft’s Unify Your Data programme, we start from the workload that is costing you most and consolidate from there. You do not need a big bang transformation to begin.
Entry 1
From legacy databases and warehouses
SQL Server 2012 to 2022, Oracle, on-premises warehouses and end of support estates. Modernise the database, remove the hardware refresh, then build analytics on Fabric.
- Azure SQL Managed Instance and Azure SQL Database
- Azure Hybrid Benefit and reserved capacity modelled up front
- Mirroring into OneLake with no ETL rewrite
Lands on: Fabric Warehouse and Lakehouse, Power BI
Entry 2
From Synapse, Tableau or a sprawling Power BI estate
You already have analytics. It is expensive, fragmented or hard to govern. We migrate workloads into Fabric with proven accelerators and consolidate reporting onto governed semantic models.
- Synapse to Fabric migration with automated assessment
- Tableau to Power BI migration, AI assisted
- Power BI tenant governance and capacity optimisation
Entry 3
From source systems, greenfield
No warehouse to speak of, or one you would rather not keep. We design the target architecture, stand up OneLake and deliver the first data products in the first phase.
- Data domain strategy and medallion design
- TechnologyOne, Dynamics 365, SAP, ESRI and API ingestion patterns
- Real-Time Intelligence for event and telemetry data
What we build
The reference architecture we deploy in production.
Not a slide. This is the platform shape we have delivered repeatedly across government and regulated industries, with governance as a rail under every layer rather than a phase at the end.
What we build
OneLake
Serving
Consumption
- GOVERNANCE RAIL
- Microsoft Purview catalogue, lineage and data quality
- Workspace, row, column and object level security
- CI/CD with Git and deployment pipelines
- Capacity monitoring and cost observability
Every engagement is tailored, but the layers do not change. That consistency is what lets us compress delivery and keep platforms healthy years after go-live.
How we deliver
A capability programme, not a one-off build.
We align leaders on the target, prove value early, then scale across domains with standards that hold. The sequence matters, which is why it is numbered.
- 3 to 4 weeks
From legacy databases and warehouses
Current state, target architecture and a prioritised roadmap that survives contact with budget cycles.
- Workload discovery and TCO modelling
- OneLake, domain and security design
- Governance operating model with Purview
- Business case and funding pathway
- 8 to 12 weeks
Build the foundation and first data products
The platform foundation goes live with the first governed data products and reports the business is waiting on.
- Fabric capacity, workspaces and CI/CD
- Medallion lakehouse and ingestion patterns
- Certified semantic models and Power BI
- Security, lineage and quality wired in
- Ongoing
Scale, self-serve, sustain
New domains onboard quickly against the same standards. Business teams self-serve safely. The platform stays healthy.
- Domain onboarding playbooks
- Self-service enablement and training
- AI enablement on Azure AI Foundry
- Managed service or centre of excellence
Accelerators and frameworks
Built once, proven many times, deployed for you.
Our accelerators encode the patterns we have refined across every Fabric engagement. They are why we can commit to production timelines measured in weeks.
Foundation
Agile Fabric Foundation
Production ready Fabric platform with medallion lakehouse, bulk onboarding, data quality and observability built in.
Migration
Fabric Migration Accelerator
Synapse, on-premises SQL and Tableau to Fabric and Power BI, with automated assessment and AI assisted conversion.
Governance
Fabric Insights
Tenant wide visibility of usage, capacity, cost and compliance across Fabric and Power BI, with alerts and recommendations.
Method
Data Modernisation Framework
Design standards, semantic model templates, DevOps patterns and release governance that keep the platform consistent as it grows.
Microsoft funding
Your platform may cost less than you think to start.
Microsoft invests in partner led data and AI modernisation through programmes such as Azure Migrate and Modernise and Azure Innovate. As a Solutions Partner with Advanced Specialisations, Agile Insights can scope engagements to qualify.
Subject to eligibility and Microsoft approval, we manage the application.
- Assessment and roadmap engagements may be partially or fully funded
- Pilot and proof of value builds on Fabric may qualify for credits
- Database and warehouse migrations may attract migration incentives
- We prepare and submit the application on your behalf
Funding availability, eligibility criteria and amounts are set by Microsoft and change through the financial year. We confirm what applies to your organisation during the first conversation.
Success stories
Platforms running in production today.
Who you will work with
Senior practitioners lead every engagement.
No slide writers. The people who scope your platform are the people who build it.
Kadu Anastacio
Practice Manager, Data & Analytics
28 years in IT, 19 specialising in data. Kadu owns the Data and Analytics practice and signs off every platform design before it goes to a client.
Chat Wijesinghe
Data Engineering Lead and Chief Architect
Deep knowledge across the Azure data stack. Chat leads the data engineering team and is accountable for delivery on every platform build.
Paul Listo
Platform Services Lead
Paul streamlines AI, cloud and IT operations with more than 15 years across Australia and New Zealand, including founding and scaling start ups and leading teams in regulated industries.
Arjun Shankar
Principal Consultant, Fabric and Azure Data
10 plus years building cloud first data platforms across Fabric, Synapse, Data Factory, Databricks and PySpark. Focused on cost, speed of delivery and self-service.
Rahul Bose
Principal Consultant, Azure Data Platforms
Deep Azure knowledge grounded in project delivery and non-technical domains. Rahul’s designs are practical, and they hold up in operations.
Waylon Payne
Principal Consultant, Data Platforms
20 plus years across Microsoft data platforms, including nearly a decade at Microsoft as a senior consultant and Premier Field Engineer. Waylon leads migration of legacy SQL and Synapse estates onto Fabric, with metadata driven orchestration and a production grade delivery lifecycle.
Backed by a team of over 70 consultants across NSW, VIC, QLD and SA, including Microsoft MVPs and security cleared resources for government engagements. Meet the wider team.
Insights on Fabric and Azure data platforms
What our architects are writing about.
Fabric IQ
Microsoft IQ explained: Fabric IQ, Foundry IQ, Work IQ and Web IQ
Where the architectural boundaries sit between each layer, and what that means for enterprise agents grounded on your data.
Semantic models
The optimal shape for Power BI data
Where the architectural boundaries sit between each layer, and what that means for enterprise agents grounded on your data.
Fabric IQ
Microsoft IQ explained: Fabric IQ, Foundry IQ, Work IQ and Web IQ
Where the architectural boundaries sit between each layer, and what that means for enterprise agents grounded on your data.
Fabric IQ
Microsoft IQ explained: Fabric IQ, Foundry IQ, Work IQ and Web IQ
Where the architectural boundaries sit between each layer, and what that means for enterprise agents grounded on your data.
Fabric IQ
Microsoft IQ explained: Fabric IQ, Foundry IQ, Work IQ and Web IQ
Where the architectural boundaries sit between each layer, and what that means for enterprise agents grounded on your data.
Fabric IQ
Microsoft IQ explained: Fabric IQ, Foundry IQ, Work IQ and Web IQ
Where the architectural boundaries sit between each layer, and what that means for enterprise agents grounded on your data.
Why Agile Insights
Australia's leading Microsoft Fabric partner.
We have deployed Fabric into production across some of the country's largest and most regulated environments, and we know where it breaks at scale.
Accelerators compress platform delivery from months to weeks. Value is visible in the first phase, not the last.
Architects and engineers with 10 to 28 years each in Microsoft data platforms, including former Microsoft consultants and Premier Field Engineers, leading every engagement.
Active across NSW, Victorian, Federal and local government with security cleared resources, ISO 27001 certification and SOC 2 attestation.
Golden semantic models and enforced standards mean every report agrees, and Copilot answers from the same definitions.
Lineage, quality and access controls designed in so Azure AI Foundry, Copilot Studio and Agile Agents run on data you can defend.
Frequently asked questions
Straight answers on Fabric and modern data platforms.
What is a modern data platform, and why do we need one?
A modern data platform is a unified, governed foundation for data engineering, analytics and AI. It replaces fragmented systems, inconsistent definitions and manual reporting with a reusable architecture that delivers trusted insight faster and supports Copilot, agents and predictive models on the same data.
Where does Microsoft Fabric fit?
Fabric brings data integration, engineering, warehousing, real-time analytics, data science and Power BI into one SaaS platform built on OneLake. Instead of stitching together separate services, you get one experience from ingestion to consumption, with Purview governance across the whole estate.
We already run Synapse, Databricks or an on-premises warehouse. Do we have to start again?
No. We assess what you have and migrate what should move. Synapse workloads convert well to Fabric with our migration accelerator. Databricks can coexist with Fabric through OneLake shortcuts and mirroring, and we are a Databricks partner too. Legacy SQL estates typically modernise to Azure SQL Managed Instance first, then feed Fabric.
How long until something is in production?
A Modern Data Platform Assessment and Roadmap takes three to four weeks. The platform foundation with the first governed data products and reports is typically live eight to twelve weeks after that, using Agile Fabric Foundation. Additional domains onboard faster once the standards are in place.
How do you keep Fabric costs under control?
Capacity is sized from real workload analysis, not guesswork. We design for Direct Lake to avoid duplicated storage, right-size compute, and deploy Fabric Insights so you see usage, capacity and cost across the tenant with alerts before overruns happen.
How do you deliver governance without slowing teams down?
Governance is built into the platform on day one. Purview cataloguing, lineage and data quality, combined with Fabric workspace, row, column and object level security, create guardrails that let business teams self-serve safely rather than wait for central approval.
What makes the platform AI ready?
AI needs well modelled, governed data with clear lineage and access control. We design semantic models and gold data products that Copilot, Copilot Studio agents and Azure AI Foundry can be grounded on with confidence, so AI moves from isolated experiments to a sustainable capability.
Is Microsoft funding available?
It may be. Microsoft runs partner programmes that can support assessments, pilots and migrations. Subject to eligibility and Microsoft approval, we manage the application and confirm what applies to your organisation during the first conversation.
How do we get started if we are unsure of our current state?
Start with the Modern Data Platform Assessment and Roadmap. In three to four weeks you get a clear picture of your estate, a target architecture, a governance model and a prioritised, costed roadmap that aligns stakeholders and can be taken to a funding conversation.
Microsoft funding
Start with a clear picture, not a transformation programme.
The Modern Data Platform Assessment and Roadmap gives you current state, target architecture and the most practical path forward in three to four weeks. Funding support may apply.
Assessment and Roadmap · 3 to 4 weeks
- Current state and workload discovery
- Target architecture on Fabric and Azure
- Governance and operating model
- Prioritised, costed roadmap
- Funding pathway, where eligible