8.9.4: Case Study Analysis

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Page ID: 58326

Felix Amoruwa
De Anza College

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Case Study Analysis

Tableau vs. Power BI: The Enterprise BI Tool Decision

A mid-size healthcare company (2,000 employees) needs to choose a BI platform. Their current state: data lives in Azure SQL Database and Excel spreadsheets, most users are on Microsoft 365, the IT team has 2 people, analysts have basic SQL skills but no Python experience, and the budget is limited. They need: department dashboards (finance, operations, clinical), executive KPI views, self-service capability for analysts, and integration with their Microsoft stack.

Vendor A (Tableau) offers: superior visual polish, larger visualization variety, strong community, but higher licensing costs and separate server infrastructure. Vendor B (Power BI) offers: tight Microsoft integration, lower cost (included in some M365 plans), DAX for advanced calculations, but steeper learning curve for complex features and slightly less visual flexibility.

Discussion Questions:

Based on the company's profile (Microsoft stack, limited budget, small IT team), which tool would you recommend and why? What specific factors tip the decision?
The clinical department wants to build predictive models and visualize results. Neither Tableau nor Power BI is designed for ML. How could Python or R be integrated into the BI workflow? Both tools offer some integration — compare their approaches.
"Self-service BI" is a key requirement. What does this mean in practice, and what organizational challenges arise when non-technical users create their own reports? How do you prevent inconsistent metrics or misleading charts?
The company might grow to 5,000 employees in 3 years. How should scalability factor into the tool decision? Consider data volume, user count, dashboard complexity, and cost scaling.

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