Understanding and using data: Your introduction to data literacy

Strategy & basics

• Discover the possibilities: What can you achieve with data?
• Get to know the components of the value creation process.
• Develop a structured approach for data-based decisions.

The structured data process

• Introduction to the CRISP-DM model as a proven roadmap for successful projects.

Collect data: Source, structure & quality

• Identify relevant sources and assess their quality.
• Recognize bias early on - why it occurs and how to avoid it.
• Exercise: Analyze sample data for biases.

Types of data analysis

• The four stages of analysis.
• Be careful with the "average" - interpret figures correctly!
• Select the appropriate diagram for your question.
• Exercise: Develop meaningful visualizations and work with a dashboard.

Communication: Visualization & storytelling

• Avoid misleading representations through clear visualizations.
• Tell compelling stories with your data results.

Ethical handling of data

• Consider aspects such as fairness, bias and data protection (GDPR & EU AI Act).

Summary & action plan

• Develop concrete steps for integrating data-based approaches into your everyday work with the help of a guided exercise.