Power BI Consultant for Retail Sales and Assortment Dashboards
As a Power BI consultant for fashion and retail brands, I build one data model and a set of dashboards for sell-through, stock cover, margin and returns that buyers, planners and finance read the same way. The KPI definitions are agreed before the first chart is drawn, so the weekly trading meeting starts with decisions rather than reconciliation.
Retail Reporting Problems a Power BI Consultant Solves
Five Retail Reports with Five Versions of Sell-Through
Each team calculates the same KPI differently, so every meeting starts with reconciliation.
Monthly Retail Reporting Rebuilt by Hand
Exports, copy-paste and manual fixes take days before anyone can read the numbers.
Retail Dashboards Nobody Opens
Reports answer questions nobody asked, while the questions buyers do ask stay in Excel.
No Owner for a Retail KPI That Looks Wrong
When a figure looks odd, nobody knows who can explain it or fix it.
What the Power BI Dashboard Work Includes
From KPI definitions to handover, in five steps.
Retail KPI Definition Sheet Agreed with the Teams
Every measure written down with its formula, data source and owner.
Retail Data Model in Power BI
Sales, stock, receipts, returns, prices and product attributes in one star-schema model.
DAX Measures for Sell-Through, Stock Cover and Margin
Plus weeks of supply, full-price share and returns rate, checked against Excel.
Power BI Report Pages Built Around Trading Meetings
Weekly trading, category review and end-of-season pages, each for a real meeting.
Refresh, Row-Level Security and Handover
Scheduled refresh, access by market and documentation for the report owner.
Results of Power BI Retail Dashboard Projects
monthly reporting time removed
competing reports replaced by one model
KPIs with a written definition and owner
Tools Used in Power BI Dashboard Projects
Power BI Data Model, DAX and Row-Level Security
Measures, calculation groups and access by market.
Power Query for Retail Data Preparation
Repeatable cleaning of ERP, PLM and e-commerce exports.
Excel as the Retail KPI Definition Sheet
One place where every KPI is described and signed off.
Related Case Study: Setting Up a Weekly Retail Trading Report in Power BI for a Multi-Brand Retailer
Setting Up a Weekly Retail Trading Report in Power BI for a Multi-Brand Retailer
One set of agreed KPI definitions and one Monday trading report in Power BI instead of four competing spreadsheets.
Free Retail Calculators for Margin, Sell-Through and Stock
Related Retail Analytics Articles
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.
Power BI Consultant FAQ
A Power BI consultant designs the data model, writes the DAX measures and builds the reports that turn a company’s data into answers its teams use. The work also covers data preparation, refresh, access rights and handover. For retail brands, I start with the KPI definitions and the meetings the reports have to serve.
A good retail dashboard answers the questions of one meeting on one page: how sales, sell-through, stock cover and margin are moving, and where to act. It uses agreed definitions, shows comparisons to plan and last year, and lets the user drill from category to SKU. Anything that does not lead to a decision is left out.
Sales, stock, receipts and returns at SKU and week level, plus prices and product attributes. Exports from your ERP, PLM or e-commerce platform are enough to start, and the connection can be automated later.
Most brand teams start with Power BI Pro licences for everyone who publishes or views shared reports. Premium Per User or a Fabric capacity becomes worth it with many viewers, large datasets or more frequent refreshes. I review your Microsoft 365 setup before recommending anything.
Yes. Row-level security lets one report serve every market while each user sees only the data they are allowed to see. Head office keeps the full view without maintaining separate files.
Usually four to eight weeks, depending on the number of data sources, KPIs and markets. Agreeing the definitions often takes as long as building the model.
Discuss a Power BI Reporting Project with Tatsiana Bandziuk
Send me the report your team argues about most. I will reply with the definitions I would agree first.
Tatsiana