Digital transformation in controlling

Digital Transformation in Controlling – Overview and Current Status

• Current developments and trends in digitalization, business intelligence, and AI.
• The interplay of data, processes, and technologies as the foundation of transformation.
• Viewing AI as an enabler, not as a standalone solution.
• Digital business models and their impact on management accounting.

The Impact of Digitalization and AI on Corporate Management / Controlling

• The potential of data-driven decision-making through BI, advanced analytics, and AI.
• Automation of controlling processes (e.g., reporting, data preparation).
• Use of tools for data analytics, machine learning, and reporting.
• Distinction: Traditional Methods vs. AI-Based Approaches.

Practical AI Use Cases in Controlling

• Forecasting and forecasting models: traditional vs. data-driven methods.
• Anomaly detection in financial and performance data.
• Automated annotation and decision support.
• Classification and structuring of data (e.g., journal entry texts).
• Applications of generative AI in the reporting environment.

The Role of Controlling in the Digital Environment

• Evolving from a data provider to a business partner.
• Assessment of data quality, models, and analysis results.
• Classification and interpretation of AI results in a management context.
• Organization and Collaboration in Data-Driven Companies.

Strategy and Implementation

• Assessing digital maturity as a foundation for transformation.
• Identification and prioritization of meaningful use cases.
• Integration of AI into existing processes and system landscapes.
• Development of a practical analytics and AI roadmap.
• Success factors and common pitfalls in transformation projects.