The data model is the engine behind every Power BI report.
The data model is the engine behind every Power BI report. System Strats designs star schema data models and writes DAX measures that calculate your business metrics accurately: from simple aggregations to complex time intelligence, dynamic segmentation, and what-if analysis.
Star schema data models for optimal performance
Custom DAX measures for complex business metrics
Time intelligence calculations (YoY, MTD, rolling averages)
Dynamic parameters and what-if analysis
We evaluate your data sources, current reports, and analytical needs. We identify what data is missing and where insights should be.
We design clean, maintainable data models. We build data pipelines that load and transform data from your systems.
We create dashboards and reports that answer business questions. We focus on clarity, performance, and user experience.
We deploy dashboards, set up automated refresh, and train teams on navigation and interpretation. We establish governance for new reports.
We've built Power BI solutions for a range of organizations. We understand data modeling, visualization best practices, and business analytics. We make data accessible and actionable.
Common questions about Power BI Data Modeling & DAX, and how System Strats can help.
DAX (Data Analysis Expressions) is Power BI's formula language for custom calculations. It handles complex metrics like year-over-year growth, running totals, weighted averages, and conditional aggregations that simple drag-and-drop can't express.
Slow reports usually indicate data model issues. We optimize by implementing proper star schemas, reducing table sizes, optimizing DAX measures, and configuring incremental refresh for large datasets.
Yes. With proper DAX measures, Power BI handles cohort analysis, customer lifetime value, funnel analysis, and other advanced metrics. The key is designing the data model to support these calculations efficiently.
We build data models that combine data from multiple sources: databases, APIs, Excel files, cloud services, using Power Query for extraction and transformation, with relationships defined in the data model.
Tell us about your project and we'll get back to you within 24 hours.