Table of Contents:

Chapter 1: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Research Questions
1.4 Objectives of the Study
1.5 Significance of the Study
1.6 Limitation of the Study
1.7 Scope of the Study

Chapter 2: Literature Review
2.1 Overview of Business Process Mining
2.2 Introduction to Robotic Process Automation (RPA)
2.3 Intelligent Automation and its Applications
2.4 Integration of Business Process Mining, RPA, and Intelligent Automation
2.5 Benefits and Challenges of Implementing these Technologies

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Analysis of Data
4.2 Comparison of Current Practices with Proposed Solutions
4.3 Recommendations for Implementation
4.4 Future Research Directions

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Implications of the Study
5.4 Contributions to the Field

Brief Overview:

The role of business process mining in robotic process automation (RPA) and intelligent automation is a topic that has gained significant attention in recent years. Business process mining involves analyzing and improving existing business processes through the use of data analysis techniques. RPA, on the other hand, is the use of software robots to automate repetitive tasks, while intelligent automation combines RPA with artificial intelligence to further enhance efficiency and decision-making capabilities.

This study aims to explore the integration of business process mining, RPA, and intelligent automation to streamline business operations and improve overall performance. By examining the benefits and challenges associated with these technologies, the research will provide valuable insights for organizations looking to implement them. The findings of the study will also offer practical recommendations for successful implementation and identify areas for future research in this rapidly evolving field.

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