Data Analytics Platforms

We help Australian businesses choose, implement and get value from the right data analytics platform — from Microsoft Fabric and Power BI to Snowflake and beyond.
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DATA ANALYTICS PLATFORM CONSULTING

Choosing a data analytics platform is the easy part. Making it work is harder.

There’s no shortage of data analytics platforms on the market. Microsoft Fabric, Power BI, Snowflake, Databricks, Google BigQuery, Tableau — the options are extensive and the vendor marketing all sounds the same. Every platform promises to unify your data, accelerate your insights and scale with your business.

What the brochures don’t tell you is that the best platform for your business depends entirely on where your data lives today, what your team can actually use, what your IT governance requires and what you’re trying to achieve in the next two years — not in a hypothetical enterprise roadmap.

On Report helps Australian businesses navigate the data analytics platform landscape without the vendor bias. We give you an honest view of which platform fits your situation, then implement it properly — connecting your data sources, building the pipelines and models underneath, and delivering the reporting layer your team uses every day.

 

Our standard
No vendor kickbacks — we recommend what's right for you
Platform selection backed by your data, team and budget reality
End-to-end implementation from data engineering to reporting
Your existing Microsoft, Google or cloud environment respected
Training and handover so your team owns the outcome

Deliverables

What's included in our data analytics platform service

01
Strategy
  • Platform selection assessment and recommendation
  • Current state data audit and gap analysis
  • Architecture design and fixed-price proposal
02
Build
  • Platform setup, configuration and governance
  • Data pipeline and integration development
  • Data modelling and semantic layer build
  • Dashboard and reporting layer delivery
03
Handoff
  • Platform documentation and architecture diagrams
  • Team training on the platform and reporting layer
  • Access, permissions and governance configuration
04
Support
  • Platform monitoring and maintenance
  • New data source connections and reporting additions
  • Retainer-based ongoing support available

How we work

A process built for results

Clear milestones, constant communication, and zero hand-waving. Here’s how we get from idea to impact.

Step 01
Discovery & Success Criteria

We map your current workflows, identify bottlenecks, and define clear metrics for success.

Step 02
Map Workflows + Data Access

We document every step, identify bottlenecks, and determine what data and systems need to connect. No surprises down the road.

Step 03
Build + Test + Security Review

We build incrementally, test thoroughly, and review security at every stage. You see progress weekly and can give feedback early.

Step 04
Launch + Monitor + Iterate

Go live confidently. We monitor performance, catch issues, and optimize based on data.

DATA SOURCES WE CONNECT

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Xero
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Google-Analytics
Microsoft Azure logo
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Dynamics-365-Logo
Mysql_logo
Databricks_Logo
Calendly Logo
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DATA ANALYTICS PLATFORMS WE WORK WITH

The leading data analytics platforms — and when to use each one

We work across the major data analytics platforms used by Australian businesses. Here’s an honest view of what each one is best suited for:

RECOMMENDED FOR MICROSOFT ENVIRONMENTS
Microsoft Fabric

Microsoft Fabric is our most-recommended data analytics platform for businesses already running Microsoft 365 or Azure. It unifies data engineering, data warehousing, real-time analytics and Power BI reporting in a single, governed environment — with your data staying inside your Microsoft tenant. If you’re on Microsoft, Fabric is almost always the right answer.

BEST FOR
  • Microsoft 365 businesses, mid-market to enterprise, organisations that need unified data engineering and BI in one platform
BEST-IN-CLASS BUSINESS REPORTING
Microsoft Power BI

Power BI is the reporting and visualisation layer that sits on top of your data. As a standalone data analytics platform for teams that already have their data infrastructure in place, Power BI is the fastest path from data to dashboard. It connects to virtually any data source, updates automatically and can be shared across your organisation without per-user costs at Premium tier.

BEST FOR
  • Businesses with existing data infrastructure that need world-class reporting; organisations already on Microsoft Fabric
CLOUD DATA WAREHOUSE
Snowflake

Snowflake is a cloud-native data warehouse built for scale. It separates storage and compute so you only pay for what you use, handles structured and semi-structured data cleanly, and integrates with virtually every analytics and data engineering tool. For organisations with large data volumes, complex multi-source architectures or cross-cloud requirements, Snowflake is a strong foundation.

BEST FOR
  • High data volumes, organisations not tied to Microsoft, businesses needing multi-cloud or cross-platform data sharing
DATA + AI PLATFORM
Databricks

Databricks is the platform of choice for organisations running data science and machine learning workloads alongside their analytics. Built on Apache Spark, it handles large-scale data transformation and model training natively. If your data analytics ambitions extend into predictive modelling, AI/ML experimentation or lakehouse architecture at scale, Databricks belongs in the conversation.

BEST FOR
  • Data-science-led organisations, businesses building AI and ML capabilities, large-scale data transformation workloads