How Power BI Data Modelling Transforms Raw Health Data into Insights

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A data practitioner working with a healthcare dataset in Power BI explored how proper data modelling improves accuracy, performance, and scalability of reports. The project centred on organising patient visit records into a structured model comprising one central fact table, FactVisits, and several dimension tables covering patients, facilities, services, dates, and locations. Rather than storing all information in a single flat table — which causes data repetition — the structured approach separates events from descriptive entities. Well-defined relationships between tables simplify DAX calculations, speed up dashboard queries, and make the model easier to maintain as the dataset grows. The exercise highlighted that building a solid data model before designing visuals is essential for reliable and meaningful health data analysis.

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