FI-DPA 07 BI-Tools — Power BI und Metabase (EN)

FI-DPA 07 BI-Tools — Power BI and Metabase

In this module, you will learn the fundamentals of Business Intelligence with a focus on Power BI and Metabase. You will develop the conception of data models, the application of DAX formulas for data analysis, the design of meaningful visualizations, and the creation of interactive dashboards. Participants will be enabled to support data-driven decisions through effective visualization and analysis.

Practical application is in the foreground: You will create your own data models, develop DAX measures, and design meaningful dashboards according to the principles of data visualization. At the end of the module, you can effectively use Power BI and Metabase for the analysis and presentation of business data.

Concepts and Background

Data Model

The structured representation of data relationships in a database or a BI tool. It defines how tables are connected to each other and how data can be aggregated and analyzed.

DAX (Data Analysis Expressions)

A formula language in Power BI and other Microsoft products that enables custom calculations for data models. DAX is similar to Excel formulas but is optimized for complex data models.

Visualization Rules

Principles for designing meaningful and easily understandable data visualizations. This includes selecting appropriate chart types, consistent use of colors, and avoiding visual overload.

Dashboard

A consolidated view of KPIs, visualizations, and reports that provides a quick overview of the state of a business process or company. Dashboards should be interactive and tailored to the needs of the target audience.

Metabase

Open-source BI tool that allows exploring data and creating dashboards without deep SQL knowledge. It is characterized by user-friendliness and flexible customization options.

Architecture Diagram

flowchart LR
  A[Data Sources] --> B[ETL Process]
  B --> C[Data Model]
  C --> D[Power BI Desktop]
  C --> E[Metabase]
  D --> F[Power BI Service]
  E --> G[Metabase Dashboards]
  F --> H[Web Browser]
  G --> H

Practical Steps

1. Load data in Power BI Desktop: Use the "Get Data" function to import data from various sources such as Excel, SQL databases, or CSV files. This forms the basis for any analysis.
2. Define relationships between tables: Connect tables through common key fields in the data model area. Correct relationships are essential for consistent calculations.
3. Create basic DAX measures: Define simple calculations such as SUM or AVERAGE using DAX syntax. Example:

   Total Revenue = SUM(Sales[Revenue])

4. Create visualizations: Select appropriate chart types for your data and drag fields into the "Axes" and "Values" areas. Experiment with different visualization types.
5. Design dashboard layout: Arrange visualizations on a canvas and use page filters for consistent filtering across all elements. A clear layout improves readability.
6. Set up Metabase: Install Metabase and connect it to your data sources via the console. Metabase supports numerous databases and cloud services.
7. Create a question: Use the Metabase question editor interface to create queries without SQL. Use drag-and-drop fields and filter functions.
8. Share dashboard in Metabase: Create a dashboard from multiple questions and set permissions for users or groups. Metabase allows granular access control.

Common Pitfalls

Further Resources

• Official Microsoft Power BI Documentation
• Official Metabase Documentation
• SQLBI - DAX Basics and Advanced Concepts
• Tutorialspoint - Power BI Tutorial
• Data-to-Viz - Guide to Data Visualization

Knowledge Check

Four questions for self-assessment. Click on each question to see the correct answer and explanation.

What is the main difference between DAX and Excel formulas?

• A) DAX can only work with numbers, Excel formulas also with text
• B) DAX is optimized for complex data models, Excel formulas for simple spreadsheet calculations
• C) DAX does not support cell references, only whole tables
• D) DAX can only be used in Power BI, Excel formulas are universally applicable

Correct Answer: B. DAX is specifically developed for BI tools and complex data models, while Excel formulas are optimized for tabular calculations. DAX can work with text and is also used in other Microsoft products.

Which principle is particularly important when designing dashboards?

• A) Maximum information density to show all relevant data at a glance
• B) Use as many different chart types as possible for variety
• C) Consistent visualization and focusing on the most important KPIs
• D) Avoid interaction options to reduce confusion

Correct Answer: C. Consistent visualization and focusing on the most important KPIs are crucial for clear, understandable dashboards. Too much information or chart types can overwhelm, while interaction improves the user experience.

What is the main advantage of Metabase compared to Power BI?

• A) Metabase offers significantly more visualization options
• B) Metabase does not require SQL knowledge for basic operations
• C) Metabase is better suited for large enterprise environments
• D) Metabase provides more advanced DAX functions

Correct Answer: B. Metabase is designed to allow users without deep SQL knowledge to explore data and create dashboards, while Power BI requires more technical knowledge for similar tasks.