Data-driven business: A clear data strategy for business success

From the idea to implementation

• Uncovering potential with methods such as ideation and design thinking.
• Overcoming challenges through agile project management ("Start small, fail fast").
• Analyze successful examples from practice.

Corporate structure and data strategy

• Breaking down data silos and developing a common data map.
• Define governance frameworks and roles (e.g. Chief Data Officer, Data Steward).
• Clarify differences between centralized and decentralized data structures.
• Building internal competencies through skill matrices.

Data infrastructure and technology

• Basics of data architecture (e.g. data lakes, data warehouses).
• Understand current technological trends such as cloud, AI and big data.
• Select and integrate tools and platforms (low/no code vs. high code).

Data culture and employee skills

• Promote acceptance of data-driven approaches.
• Build data literacy skills.
• Learn how to deal with data quality, bias and missing data.
• Visualize data clearly.

Data protection and ethical aspects

• Observe legal framework conditions such as GDPR and EU Data Act.
• Ensure responsible handling of data.