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12 Process mining and RPA

How to pick your automation battles?
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Robotic Process Automation
This chapter is in the book Robotic Process Automation

Abstract

Robotic process automation (RPA) has lowered the threshold for process automation. Repetitive tasks done by people are handed over to software robots. For RPA, there is no need to change or replace the pre-existing information systems. Instead, software robots replace users by interacting directly with the user interfaces normally operated by humans. Actually, RPA can be seen as “the poor man’s workflow management solution” because it is cheaper than traditional automation. Therefore, it can be used to automate routine work that would normally not be cost-effective. Process mining plays a key role in deciding what to automate and how. Therefore, RPA is closely related to process mining. Before introducing RPA, one needs to analyze the processes to be automated. Process mining can help to identify promising candidates. Moreover, after RPA has been implemented, process mining can be used to monitor processes and systems even if these use a mixture of RPA, workers, and traditional automation.

Abstract

Robotic process automation (RPA) has lowered the threshold for process automation. Repetitive tasks done by people are handed over to software robots. For RPA, there is no need to change or replace the pre-existing information systems. Instead, software robots replace users by interacting directly with the user interfaces normally operated by humans. Actually, RPA can be seen as “the poor man’s workflow management solution” because it is cheaper than traditional automation. Therefore, it can be used to automate routine work that would normally not be cost-effective. Process mining plays a key role in deciding what to automate and how. Therefore, RPA is closely related to process mining. Before introducing RPA, one needs to analyze the processes to be automated. Process mining can help to identify promising candidates. Moreover, after RPA has been implemented, process mining can be used to monitor processes and systems even if these use a mixture of RPA, workers, and traditional automation.

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Contents VII
  4. Editors XI
  5. Authors XIII
  6. Part I: Introduction
  7. 1 Robotic process automation 3
  8. Part II: RPA management
  9. 2 Managing RPA implementation projects 27
  10. 3 Finding the perfect RPA match 47
  11. 4 Process selection for RPA projects 77
  12. 5 Selecting processes for RPA 91
  13. 6 Transforming and recombining routines to scale the implementation of software robots 111
  14. 7 Liability for loss or damages caused by RPA 135
  15. Part III: RPA technology
  16. 8 Towards end-to-end business process automation 155
  17. 9 Human–computer interaction analysis for RPA support 169
  18. 10 Supporting RPA through natural language processing 187
  19. 11 Automated segmentation of user interface logs 201
  20. 12 Process mining and RPA 223
  21. Part IV: RPA applications
  22. 13 RPA in accounting 243
  23. 14 RPA for the financial industry 263
  24. 15 RPA for public administration enhancement 285
  25. 16 Applications of RPA in manufacturing 315
  26. Part V: RPA practice
  27. 17 AI evolves IA 349
  28. 18 The broad use of RPA based on three practical cases 377
  29. 19 Digitization applied to automate freight paper processing 393
  30. Index 403
https://doi.org/10.1515/9783110676693-012

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Contents VII
  4. Editors XI
  5. Authors XIII
  6. Part I: Introduction
  7. 1 Robotic process automation 3
  8. Part II: RPA management
  9. 2 Managing RPA implementation projects 27
  10. 3 Finding the perfect RPA match 47
  11. 4 Process selection for RPA projects 77
  12. 5 Selecting processes for RPA 91
  13. 6 Transforming and recombining routines to scale the implementation of software robots 111
  14. 7 Liability for loss or damages caused by RPA 135
  15. Part III: RPA technology
  16. 8 Towards end-to-end business process automation 155
  17. 9 Human–computer interaction analysis for RPA support 169
  18. 10 Supporting RPA through natural language processing 187
  19. 11 Automated segmentation of user interface logs 201
  20. 12 Process mining and RPA 223
  21. Part IV: RPA applications
  22. 13 RPA in accounting 243
  23. 14 RPA for the financial industry 263
  24. 15 RPA for public administration enhancement 285
  25. 16 Applications of RPA in manufacturing 315
  26. Part V: RPA practice
  27. 17 AI evolves IA 349
  28. 18 The broad use of RPA based on three practical cases 377
  29. 19 Digitization applied to automate freight paper processing 393
  30. Index 403
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