Tatsiana BandziukRetail & Fashion Analytics

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.

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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.

01

Retail KPI Definition Sheet Agreed with the Teams

Every measure written down with its formula, data source and owner.

02

Retail Data Model in Power BI

Sales, stock, receipts, returns, prices and product attributes in one star-schema model.

03

DAX Measures for Sell-Through, Stock Cover and Margin

Plus weeks of supply, full-price share and returns rate, checked against Excel.

04

Power BI Report Pages Built Around Trading Meetings

Weekly trading, category review and end-of-season pages, each for a real meeting.

05

Refresh, Row-Level Security and Handover

Scheduled refresh, access by market and documentation for the report owner.

Results of Power BI Retail Dashboard Projects

40h

monthly reporting time removed

4 → 1

competing reports replaced by one model

100%

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

schematic dashboard · illustrative data
Reporting · Power BI

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.

40 h/month saved4 → 1 report

Free Retail Calculators for Margin, Sell-Through and Stock

Related Retail Analytics Articles

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

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