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Power Query vs DAX: Which One Should You Use for That Calculation?
Thirty-step applied queries recreating what one measure should do, and iterator-heavy DAX performing row transformations the pipeline should have handled - both come from the same gap: no mental model for which language does which job. This guide provides the clean version - Power Query shapes the data that arrives, DAX answers questions at runtime - with decision rules, worked examples for the common cases, and the 'as far upstream as possible' principle that points beyond b
Row-Level Security in Power BI: Show Each Manager Only Their Own Numbers
Fifteen copies of the same report, one per branch, drifting apart with every change - that is the anti-pattern row-level security kills. This guide explains how RLS works mechanically: roles, DAX filter expressions, the dynamic pattern using USERPRINCIPALNAME against a security table, organisational hierarchies for roll-up access, testing with View As, the performance cost of badly written filters, and why security must live in the model rather than the visual layer.
Incremental Refresh in Power BI: When You Need It and How to Set It Up Properly
A two-hour refresh for one day of new data is the signature of a model reloading history that never changed. This practitioner guide covers how incremental refresh actually works - RangeStart and RangeEnd parameters, partitioning, detect-data-changes - why query folding is the non-negotiable prerequisite, the production gotchas the documentation glosses over (silent folding breaks, the first-publish full load, XMLA partition management), and when hybrid tables or Direct Lake
How to Build a KPI Framework Before You Build a Single Dashboard
Commissioning dashboards before agreeing what revenue, margin and churn actually mean is how the three-different-numbers problem reaches production. This guide covers the KPI framework that should precede any build: outcome-driver-measure trees, the metric dictionary as a governed artefact, the edge cases where definitions actually live (timing, exclusions, intercompany), a workshop agenda you can run yourself, and how settled definitions become certified measures in a semant
12 Dashboard Design Principles That Make Executives Actually Use Your Reports
The dashboard answered every question except the one the executive came with - so they went back to asking the analyst. This guide covers twelve design principles grouped by job: visual hierarchy and layout, cognitive load and colour discipline, interaction patterns that mirror real questions, and the performance budget that keeps everything sub-second. With the Power BI specifics - themes as design governance, bookmark navigation, mobile layouts - and adoption metrics as the
The Hidden Cost of Manual Reporting: How to Calculate What Spreadsheets Really Cost You
Hours times salary is the smallest line on the manual reporting bill. The full ledger includes error remediation, decision latency, key-person risk and the audit cost of untraceable numbers. This guide provides a costing model you can apply in ten minutes - report inventory, assembly hours, frequency, fully loaded rates - with a worked example showing one weekly report quietly consuming a working month per year, and the honest automation maths to compare it against.
Your Guide to Smarter Analytics
Report Simple aims bringing enterprise level reporting & analytics to SMEs around Australia.
Microsoft Fabric
Practical Microsoft Fabric guides for Australian data leaders, written by the consultants at Report Simple. We cover OneLake and Lakehouse architecture, Direct Lake performance, F-SKU capacity and pricing, governance, and migration paths from Azure Synapse, SQL Server and Power BI Premium. Whether you are evaluating Fabric or already running it, these articles help you plan, implement and optimise a unified data platform.


What Is Microsoft Fabric? A Plain-English Guide for Australian Executives
Your IT team has proposed 'moving to Fabric' and the briefing paper assumes vocabulary nobody at the table has. This plain-English guide explains what Microsoft Fabric actually is - the OneDrive-for-data mental model, the workloads that run on one capacity, what changes commercially when per-product licensing becomes capacity-based, why the retirement of Power BI Premium forces a decision, and the questions a board should ask before approving the migration budget.
Jun 125 min read


Fabric Data Agents vs Standard Copilot: Building Virtual Analysts Over Your OneLake Estate
Artificial Intelligence is evolving from simple chat interfaces into autonomous systems. Discover the difference between standard Copilot and Fabric Data Agents, and learn how to build secure, self-governing virtual analysts over your OneLake estate. We explore the critical role of data schemas, Row-Level Security, and why expert setup is essential to prevent hallucinations and protect your organisation. Read the full guide to transform your data strategy today.
Jun 37 min read


Microsoft Fabric vs. Azure Synapse: Is it Finally Time to Migrate Your AU Data Warehouse?
Microsoft Fabric has arrived, and for many Australian organisations, the question isn’t "if" but "when" to migrate from Azure Synapse. Between the shift to F-SKU consumption models and the simplified architecture of OneLake, the data landscape is changing. This guide breaks down the cost implications, the migration roadmap, and how a technical audit can save your business from paying for redundant resources during the transition.
May 245 min read


Microsoft Fabric vs Power BI Premium: The Australian CIO’s Guide to Migration
For Australian CIOs, the data landscape has shifted. Microsoft Fabric isn’t just a rebrand; it is a fundamental restructuring of how we handle data engineering, science, and analytics. But what does this mean for your existing Power BI Premium investment? We break down the technical unification, the AUD cost implications of F-SKUs, and why OneLake might finally solve your data governance headaches.
Feb 115 min read


Microsoft Fabric vs Snowflake: The Ultimate Architecture Guide for Australian Enterprises
The battle for data dominance is heating up. On one side, you have Snowflake, the best-of-breed pioneer of the cloud data warehouse. On the other, Microsoft Fabric, the unified SaaS disruptor promising to end data silos forever. For Australian CIOs and Data Leaders, the choice isn't just about features—it's about long-term TCO and talent availability. We analyse the architectural and financial differences to help you decide.
Jan 85 min read
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