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Practical guides from our consultants on strategy, engineering, analytics, AI and visualisation, plus side-by-side comparisons to help you choose the right platform.
Microsoft Fabric Data Agents: Requirements, Costs and Getting Your Data Ready
What Fabric data agents do, what they need and cost in Australia, the data residency question to answer first, and how to get your data ready for good answers. 6 min read
How Much Does Microsoft Fabric Cost in Australia?
Microsoft Fabric prices in AUD: what each capacity size costs a month, the F64 licensing threshold, storage, example budgets and ways to keep the bill down. 5 min read
Moving from Power BI Premium (P SKU) to Fabric (F SKU)
Power BI Premium P SKUs are being retired. What changes, the 90-day timeline, which F SKU replaces yours, the cost in Australia and how to move safely. 5 min read
Microsoft Purview vs OvalEdge
Data catalogue, lineage, glossary, data quality, access governance, AI and pricing compared, with clear advice on when to choose each. 5 min read
FinOps for Data Platforms
Where data platform spend leaks, the biggest cost levers in Fabric, Databricks, Snowflake and Azure, and a 90-day plan, with a FinOps maturity check you can take in two minutes. 9 min read
Microsoft Fabric vs Databricks vs Snowflake
Architecture, pricing models, BI, AI and governance compared: a balanced guide to when each platform fits. 4 min read
Power BI vs Tableau
Ecosystem, licensing, data modelling, visual exploration, AI and governance compared, with clear advice on when to choose each. 3 min read
Securing Workspaces in Microsoft Fabric
Inbound network security in Microsoft Fabric: how Private Link, private endpoints and admin settings secure your workspaces and reduce the attack surface. 5 min read
Accelerating Insights with Metadata-Driven Data Integration from Employment Hero APIs
How we built a metadata-driven framework that brings Employment Hero HR and payroll data into a modern medallion architecture in days, not weeks. Updated 2 min read
Data Strategy Vs. Data Governance
How data strategy and data governance differ, how each depends on the other, and where to start. Updated 3 min read
Metadata-Driven ETL Frameworks
Instead of hand-building a pipeline for every source, a metadata-driven framework reads configuration and runs the same tested logic every time. Updated 4 min read
Data Analytics for Hospitality
From dynamic pricing to demand-based rostering, here's how hotels and venues use advanced analytics, and what to plan for. Updated 4 min read
Data Analytics for Non-Profit Organisations
What to measure, how to prove impact to funders, choosing low-cost tools and using AI responsibly: a practical guide for Australian not-for-profits. Updated 5 min read
Why Data Modelling Is Essential
Advanced analytics is only as good as the data model underneath it. Here's why modelling matters and how to do it well. Updated 4 min read
The Power of Predictive Analytics
Where predictive analytics works, the machine learning methods behind it in plain English, what you need to start, and how to judge whether a model is good enough. Updated 5 min read
Data Ethics in the Age of AI
Where data ethics shows up in AI, what Australian privacy law and guidance expect, and practical steps to use data responsibly. Updated 3 min read
Data Integration: Why It Matters and How to Do It
Why integration matters, and a practical way to do it: start from the questions, agree ownership, choose the right tools and build quality in. Updated 3 min read
The Importance of Data Quality
The six dimensions of good data, where quality usually breaks, and a practical way to keep your data accurate and reliable. Updated 3 min read
Data Governance Essentials
Data governance makes sure data is accurate, secure and used responsibly. Here's why it matters and how to put practical governance in place. Updated 4 min read
AI for Business
AI is most useful when it's aimed at a specific, costly problem. Here's where it helps, and how to get from idea to working solution. Updated 5 min read
Effective Data Visualisation
Ten practical tips for charts and dashboards that are clear, honest and easy to act on. Updated 4 min read
Data Analytics for Utilities
How electricity, gas and water utilities use data for asset health, network planning, faster fault response and customer service. Updated 3 min read
Power of a Well-Defined Data Strategy
A data strategy is a practical plan for how your organisation will use data to reach its goals. Here's why it matters and how to build one. Updated 4 min read
Data Analytics for Mining
Mining generates huge volumes of operational data. Here's where analytics delivers value, from predictive maintenance to safety, and the data foundations that make it reliable. Updated 6 min readNothing matches that search. Try a different word, or show everything.