Digital transformation in controlling

The digital transformation - status quo and challenges

• Current trends, innovations, developments, technologies.
• The significance and impact of new technologies on the business environment, particularly with regard to complexity and dynamics.
• New business models, products and services and the resulting consequences.
• Examples of AI applications such as predictive analytics and robotic process automation (RPA).

Influence of digitalization on corporate management/controlling

• Potential and opportunities for corporate management through big data, AI and predictive analytics.
• Process automation through robotics.
• Use of tools for AI, data science and machine learning.
• Implications for the controller's self-image, his or her role, the organization and the processes.

Challenges and opportunities for the: controller

• Increase in the speed of technology cycles.
• Agile corporate management.
• Evaluation of the information content of data: Data granularity, data quality, data management.
• Assessment of the value contribution of the analyses.
• Perception as a business partner and consultant by management.

Starting points for a digitalization strategy

• Assessment of the digital maturity level.
• Fields of application for AI and data science along the value chain.
• Value orientation in the operational digitization approaches.
• Identification and prioritization of fields of action (use cases).
• Use of open source programs as part of the digitalization strategy.
• Development of an analytics roadmap.