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Process Mining in Action - Principles, Use Cases and Outlook

Process Mining in Action - Principles, Use Cases and Outlook

Lars Reinkemeyer

 

Verlag Springer-Verlag, 2020

ISBN 9783030401726 , 216 Seiten

Format PDF, OL

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Process Mining in Action - Principles, Use Cases and Outlook


 

Foreword

6

Foreword

8

Process Mining in a Volatile World

8

Preface

11

Outline of the Book

12

Acknowledgments

15

Contents

16

Abbreviations

18

Part I: Principles and Value of Process Mining

20

1: Process Mining in a Nutshell

21

2: How to Get Started

29

3: Purpose: Identifying the Right Use Cases

33

4: People: The Human Factor

44

5: Processtraces: Technology

48

6: Challenges, Pitfalls, and Failures

53

7: Process Mining, RPA, BPM, and DTO

57

8: Key Learnings

61

Part II: Best Practice Use Cases

63

9: Siemens: Driving Global Change with the Digital Fit Rate in Order2Cash

64

Challenge

64

Use Case

65

Impact

68

Technology

69

Lessons Learned

70

Outlook

71

Links

72

10: Uber: Process Mining to Optimize Customer Experience and Business Performance

73

Challenge

73

Use Case

74

Impact

75

Technology

75

Lessons Learned

75

Outlook

76

11: BMW: Process Mining @ Production

78

Challenge

78

Use Case

80

Impact and Technology

81

Lessons Learned

82

Outlook

85

Links and Further Reading

86

12: Siemens: Process Mining for Operational Efficiency in Purchase2Pay

87

Challenge

87

Segregation of Duty Versus e2e Transparency

88

Cornerstones and Definitions for P2P Process Mining Cases

89

Use Cases

91

P2P Direct Material Focus Areas and Data Models

91

P2P Overview: Direct Material

92

Rework: Direct Material

93

P2P Indirect Material Focus Areas (SRM)

94

Payment Terms

98

EDI Rate Versus Rework Rate

99

Robotic Process Automation

101

Impact: Potential Business Benefits and Savings

103

Benefits of Increasing Operational Efficiency

104

Benefits of Reducing Throughput Times

104

Benefits of Optimizing Working Capital

105

Benefits of Increasing Digitalization

105

Technological Concepts of Process Mining P2P

106

Technological Prerequisites

106

P2P Data Model Configuration Template

107

Lessons Learned and Outlook

108

13: athenahealth: Process Mining for Service Integrity in Healthcare

109

Challenge

109

Why Process Mining?

110

Use Cases

110

Use Case #1

111

Use Case #2

111

Implementation of Use Case #1

111

Implementation of Use Case #2

113

Technology

115

Impact

115

Lessons Learned

116

Macro

117

Micro

118

Key Takeaways

118

Outlook

119

Links and Background Information

119

14: EDP Comercial: Sales and Service Digitization

121

Challenge

121

Use Case

122

Impact

123

Medium- and Long-Term Impacts: Accelerating the Positive Impact on Climate Change

124

Customer Care Insights

124

How Process Mining Is Contributing to Break Silos?

126

Analyzing Within the Processes

126

Technology

127

Lessons Learned

127

About People

127

About Processes

128

How to Engage?

128

Outlook

128

The Main Role of Process Mining

128

Public Sector Benefits

129

Process Mining Requires New Skills

129

Technological Context

129

Organic Context

129

Is the Global Market Mature?

129

Links (Fig. 14.4)

130

15: ABB: From Mining Processes Towards Driving Processes

131

Challenge

131

Use Case

133

Impact

134

Technology

136

Lessons Learned

138

16: Bosch: Process Mining-A Corporate Consulting Perspective

141

Challenge

141

Use Case

142

Impact

143

Technology

144

Lessons Learned

144

Outlook

145

17: Schukat: Process Mining Enables Schukat Electronic to Reinvent Itself

146

Challenge

146

Use Case

147

Bottom-Up-Analyze First

147

Top-Down-Design First

148

Loop

149

Trigger Live Action

149

Impact

150

Technology

150

Lessons Learned

150

Outlook

151

Links

153

18: Siemens Healthineers: Process Mining as an Innovation Driver in Product Management

154

Challenge

154

Use Case

156

Impact

158

Process Mining Enhanced by New Types of Visualizations

161

Exam Throughput per Hour

161

Trending of Examination Times

161

Visualization of Individual System Settings

162

Technology

163

Event Log and Data Architecture

163

Process Mining App

164

Hosting

164

Self-Service Process Mining

165

Lessons Learned

165

Challenge of Gathering Data

166

Structural and Organizational Challenges

166

Outlook

166

Links and Further Reading

167

19: Bayer: Process Mining Supports Digital Transformation in Internal Audit

169

Challenge

169

Use Cases

171

Impact

174

Technology

174

Lessons Learned

175

Outlook

177

Links

178

URLs

178

20: Telekom: Process Mining in Shared Services

179

Challenge

179

Use Case

181

Step 1: The First Implementations

182

Step 2: Center of Excellence

182

Step 3: Integration

183

Step 4: Machine Learning

184

Impact

184

Technology

185

Lessons Learned

186

Outlook

188

Links

188

Part III: Outlook: Future of Process Mining

189

21: Academic View: Development of the Process Mining Discipline

190

Adoption of Traditional Process Mining Techniques

191

Expanding the Scope of Process Mining

192

An Inconvenient Truth

195

Novel Challenges

200

Process Hygiene

204

References

204

22: Business View: Towards a Digital Enabled Organization

206

Present Trends

207

Near Future

208

Midterm Future

212

Long-Term Future

213

Vision of a Digital Enabled Organization

214

About the Editor

216