Power BI for Retail Analytics: Articles and Guides
Power BI articles for retail and fashion teams: DAX measures, sell-through and stock cover reporting, row-level security and dashboard examples. Each guide starts from a real retail KPI and shows how to calculate and present it.
Weeks of Cover in Power BI: DAX Measure and Formula
The weeks of cover formula, why the averaging window changes the answer, a DAX measure that counts only in-stock weeks, and how cover converts to stock turn.
Weekly Trading Report in Power BI: What to Include
The four pages of a weekly trading report in Power BI, the measures each one needs, the retail calendar underneath it, and the mistakes that make it useless.
4-5-4 Retail Calendar in Power BI: How to Build It
The columns a 4-5-4 retail calendar needs, DAX that builds the table, why Power BI time intelligence breaks on it, and what the 53rd week does.
Like-for-Like Sales in DAX: Comparable Stores and Weeks
How like-for-like sales are defined, the two methods of choosing comparable stores, and the DAX that keeps both years on the same store set.
Star Schema for Retail Sales and Stock in Power BI
How to model retail sales and a weekly stock snapshot in Power BI: two fact tables, three shared dimensions, and why the facts are never joined.
How to Calculate Sell-Through Rate in Retail and Power BI
The sell-through rate formula, the two denominators teams confuse, fashion benchmarks, an Excel formula and DAX for a weekly curve.
Retail KPIs for Fashion Brands: Sell-Through, Stock Turn, GMROI and Weeks of Cover
The retail KPIs a fashion brand should review every week, with formulas for stock turn, GMROI and weeks of cover and two calculators.
Power BI Dashboard Examples for Retail and Fashion Sales
Three Power BI dashboard examples for retail, described page by page: weekly trading, category review and end-of-season review, with KPIs and design rules.
Row-Level Security in Power BI for Multi-Market Retail Reporting
How to set up row-level security in Power BI so that each market sees only its own figures in one shared retail report.
Five DAX Measures Every Retail KPI Dashboard Needs
Stock cover, full-price share, returns rate, weeks of supply and contribution margin as DAX measures for a Power BI retail dashboard.
Sell-In vs Sell-Through: Why Commercial and Finance Numbers Differ
Sell-in, sell-through and sell-out explained, and why commercial and finance teams report different sell-through figures for the same season.
Free Retail Calculators for Margin, Sell-Through and Stock
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Power BI Consultant for Retail KPI Dashboards
One Power BI model for sell-through, stock cover, margin and returns that the commercial team actually opens.
Book a ConsultationPower BI for Retail Analytics FAQ
Yes. A small brand can start with a few Pro licences and one data model for sales, stock and margin built from ERP or e-commerce exports. The main benefit is that the weekly report refreshes itself instead of being rebuilt by hand.
Most retail teams need Power BI Pro for everyone who publishes or views shared reports. Premium Per User or a Fabric capacity makes sense with many viewers, large datasets or frequent refreshes. Check your Microsoft 365 plan first, because some plans already include Pro.
Excel is best for planning models and one-off analysis, where people type in assumptions. Power BI is better for recurring reporting that many people read, such as the weekly trading report. Most retail teams use both, with agreed KPI definitions shared between them.