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Power BI Semantic Model & Data Modeling

Master Power BI semantic models and data modeling: measures, calculated columns, star schemas, relationships, date tables and time intelligence.

Advanced

Start with the foundations.

Take the lessons in order for a complete introduction, or open the topic that answers your current reporting question.

Power BI Semantic Model explained

Understand the Power BI semantic model and learn how datasets, tables, relationships, and measures create consistent marketing KPIs and dashboards.

Measures vs Calculated columns

Learn the difference between measures and calculated columns in Power BI and know when to use each for marketing KPIs and dashboards.

Date table and time intelligence foundation

Learn why a date table is essential in Power BI, how it enables reliable time intelligence, and how marketing teams should use it for consistent reporting.

Modeling mistakes and how to fix

Learn the most common Power BI data modeling mistakes in dashboards and how to fix them to improve performance, reliability, and KPI accuracy.

Power BI relationships

Learn how Power BI relationships work for marketing data, including cardinality types, cross-filter direction, and active vs inactive relationships.

Power BI Star schema for Marketing

Learn what a star schema is in Power BI, understand fact and dimension tables, and see how marketers can structure data for reliable KPIs and dashboards.

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