Power BI modelling tips

Power BI users are swapping visual tweaks for data-model fixes, with recent guidance centering on relationships, cardinality and filter direction before any finance dashboard goes live. (learn.microsoft.com) Microsoft’s Power BI documentation says relationships control how filters move between tables, and cardinality defines whether a link is one-to-many, many-to-one, one-to-one or many-to-many. In model view, arrows on relationship lines show that filter flow, with double arrows marking bi-directional filtering. (learn.microsoft.com, learn.microsoft.com) For finance models, that setup changes the numbers executives see. Microsoft says fact tables hold numeric measures such as sales, while dimension tables hold attributes like date or product, and the recommended design is a star schema with one-side dimensions filtering many-side facts. (learn.microsoft.com) That advice has become more pointed in models for revenue, margin and working-capital reporting, where duplicated rows or ambiguous filter paths can distort totals. Microsoft’s guidance says bi-directional filters should be used only for specific cases, including some many-to-many bridge-table designs and certain slicer behaviors. (learn.microsoft.com, learn.microsoft.com) The same Microsoft guidance warns that many-to-many relationships need extra structure. When two dimension tables both connect to the same business entity, the recommended pattern is a separate bridge table with one-to-many links, rather than letting two “many” sides connect directly. (learn.microsoft.com, learn.microsoft.com) That matters in finance because driver-based measures depend on clean filter propagation. A gross-margin measure, for example, is only as reliable as the model that connects product, customer, date and ledger tables without double-counting or blocking context. (learn.microsoft.com, learn.microsoft.com) Practitioners also paired that modeling advice with a donut-style KPI card file for executive summaries, using the.pbix Power BI report format that can be opened directly in Power BI Desktop. Microsoft describes Power BI Desktop as the tool for building report models, relationships and visuals before publishing. (learn.microsoft.com) The visual itself is the easy part. Microsoft’s DirectQuery modeling guidance says unnecessary bi-directional filtering can hurt performance, so a dashboard that looks clean on the page can still query badly or return misleading numbers underneath. (learn.microsoft.com, learn.microsoft.com) The thread running through the recent advice is simple: in Power BI, a KPI card is only as trustworthy as the model behind it. Revenue, margin and cash metrics start with relationship design, not formatting. (learn.microsoft.com, learn.microsoft.com)