Power BI Workflow: Data Cleaning, Modeling, and Dashboard Building Explained

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Power BI enables analysts to transform messy raw data into interactive dashboards through a structured three-stage workflow. The process begins in Power Query, where missing values, duplicates, and inaccuracies are addressed using techniques such as replacing nulls with placeholders or removing rows with excessive missing data. Next, data modeling organizes tables into logical structures using fact and dimension tables, with relationships defined through primary and foreign keys to enable cross-table analysis. Design patterns like the Star Schema — where a central fact table connects to multiple dimension tables — are recommended for their simplicity and query performance. The final stage involves building dashboards that visually communicate insights drawn from the cleaned and modeled data.

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