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Process Mining in Action - Principles, Use Cases and Outlook  
Process Mining in Action - Principles, Use Cases and Outlook
von: Lars Reinkemeyer
Springer-Verlag, 2020
ISBN: 9783030401726
216 Seiten, Download: 7239 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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Inhaltsverzeichnis

  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  


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