Künstliche Intelligenz im Management Reporting. Eine Analyse der Chancen und Herausforderungen für KMUs in Deutschland

Inhaltsverzeichnis (Table of Contents)

• EINLEITUNG
• Problemstellung
• Zielsetzung und Forschungsfragen
• Aufbau der Arbeit
• THEMATISCHE UND KONZEPTIONELLE GRUNDLAGEN
• Management Reporting
• Definition des Management Reportings
• Erstellungsprozess
• Künstliche Intelligenz
• Definition Künstlicher Intelligenz
• Machine Learning, Deep Learning und Künstliche neuronale Netze
• Natural Language Processing
• Intelligent Robotic Process Automation
• ANWENDUNG KÜNSTLICHER INTELLIGENZ IM MANAGEMENT REPORTING
• Herausforderungen
• Knowhow
• Change-Management
• Datenstrukturen
• Use-Cases
• Intelligente Datenverarbeitung und Mustererkennung
• Intelligente Entscheidungsunterstützung
• Intelligente Datenvisualisierung
• Intelligente Automatisierung
• Veränderung der Rolle des Controllers
• Informationssammler
• Business Partner
• EXPERTENINTERVIEWS ZUR ERFORSCHUNG DER ANWENDUNG KÜNSTLICHER INTELLIGENZ IM MANAGEMENT REPORTING
• Vorgehensweise eines semistrukturierten Experteninterviews
• Auswahl und Beschreibung der Experten
• Organisation und Durchführung des Experteninterviews
• Auswertung der Experteninterviews
• Diskussion der Ergebnisse
• Modernes Management Reporting
• Datenmanagement
• KI-Reporting
• KI-Business Partnering
• Limitationen der Forschung
• FAZIT

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This work aims to explore the application of Artificial Intelligence (AI) in Management Reporting. It investigates the challenges, use cases, and implications of integrating AI into reporting processes. The research focuses on the role of the Controller in the context of AI-driven reporting and explores the potential transformation of their responsibilities.

• Integration of AI in Management Reporting
• Challenges and Opportunities of AI in Reporting
• Impact of AI on the Role of the Controller
• Use Cases and Benefits of AI-driven Reporting
• Modern Management Reporting and Data Management Practices

Zusammenfassung der Kapitel (Chapter Summaries)

• EINLEITUNG

The introduction sets the stage for the research, defining the problem area and outlining the objectives and research questions. It also describes the structure of the thesis.

• THEMATISCHE UND KONZEPTIONELLE GRUNDLAGEN

This chapter explores the theoretical foundations of Management Reporting and Artificial Intelligence (AI), including definitions and concepts. It dives into various aspects of AI, such as Machine Learning, Deep Learning, Natural Language Processing, and Intelligent Robotic Process Automation.

• ANWENDUNG KÜNSTLICHER INTELLIGENZ IM MANAGEMENT REPORTING

This chapter delves into the challenges and opportunities of utilizing AI in Management Reporting. It presents various use cases, including intelligent data processing, decision support, data visualization, and automation. The chapter also explores the changing role of the Controller in the context of AI-driven reporting.

• EXPERTENINTERVIEWS ZUR ERFORSCHUNG DER ANWENDUNG KÜNSTLICHER INTELLIGENZ IM MANAGEMENT REPORTING

This chapter details the methodology used for conducting semi-structured expert interviews. It explains the selection of experts and the organization and execution of the interviews. The chapter includes an analysis of the interview results and a discussion of findings related to modern Management Reporting, data management, AI-driven reporting, and AI-based business partnering.

Schlüsselwörter (Keywords)

The main keywords and focus topics of this work include Management Reporting, Artificial Intelligence (AI), Machine Learning, Deep Learning, Natural Language Processing, Intelligent Robotic Process Automation, data management, data visualization, data analytics, Controller role, digital transformation, and AI-driven decision making.