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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.


5 Key Features of Data Analytics Tools Every Data Analyst Should Know
Data analytics tools are essential for modern businesses to turn complex data into actionable insights. From real-time data processing to advanced analytics, these tools provide analysts with the capabilities to improve decision-making, enhance forecasting accuracy, and streamline reporting. Learn how the right tools can support your business growth and long-term data strategy.
Aug 27, 20257 min read
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