東華大學圖書館 |

Process intelligence in action = taking process mining to the next level /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Process intelligence in action/ edited by Lars Reinkemeyer.
其他題名:	taking process mining to the next level /
其他作者:	Reinkemeyer, Lars.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xxiv, 248 p. :ill., digital ;24 cm.
內容註:	Part I: From Process Mining to Process Intelligence -- 1. Evolution -- 2. How to get started -- 3. Driving user adoption -- 4. Success Factors for Digital Transformation -- 5. Value as the name of the Game -- 6. Operating Models and Centers of Excellence -- 7. Process Intelligence as Transformation Enabler -- 8. Challenges, Pitfalls and Failures -- 9. Key Learnings -- Part II: Best Practice Use Cases -- 10. ABB: Driving a Sustainability Transformation with Process Intelligence -- 11. BMW: Process Intelligence for Everybody - Organizational Setup & Scaling -- 12. Bosch: Business & IT Transformation facilitated by Process Intelligence -- 13. Ingka: Inspiring a Community for Open Exchange -- 14. Kimberly-Clark: Process Intelligence as Catalyst for Supply Chain and Global Business Services Transformation -- 15. Merck, Sharp & Dohme: Digital Transformation in Shared Services and Beyond -- 16. PepsiCo: From Discovery to Dollars - Turning Process Insights into Value -- 17. Reckitt's Digital Transformation: Unleashing the Power of Process Intelligence at Scale -- 18. Saint Gobain: The Power of Executive Sponsorship -- 19. Siemens: Acting resiliently through hybrid Process Intelligence in the Supply Chain Metaverse -- 20. thyssenkrupp Rasselstein: Connected Supply Chain across thyssenkrupp -- 21. Uniper: Empowering Business Transformation through Process Orchestration -- Part III Future of Process Intelligence -- Academic Perspective: How Object-Centric Process Mining Helps to Unleash Predictive and Generative AI -- 23. Business Perspective: The Future of Intelligent Business Process Execution.
Contained By:	Springer Nature eBook
標題:	Process mining. -
電子資源:	https://doi.org/10.1007/978-3-031-61343-2
ISBN:	9783031613432

Process intelligence in action = taking process mining to the next level /
Process intelligence in actiontaking process mining to the next level /[electronic resource] :edited by Lars Reinkemeyer. - Cham :Springer Nature Switzerland :2024. - xxiv, 248 p. :ill., digital ;24 cm.

Part I: From Process Mining to Process Intelligence -- 1. Evolution -- 2. How to get started -- 3. Driving user adoption -- 4. Success Factors for Digital Transformation -- 5. Value as the name of the Game -- 6. Operating Models and Centers of Excellence -- 7. Process Intelligence as Transformation Enabler -- 8. Challenges, Pitfalls and Failures -- 9. Key Learnings -- Part II: Best Practice Use Cases -- 10. ABB: Driving a Sustainability Transformation with Process Intelligence -- 11. BMW: Process Intelligence for Everybody - Organizational Setup & Scaling -- 12. Bosch: Business & IT Transformation facilitated by Process Intelligence -- 13. Ingka: Inspiring a Community for Open Exchange -- 14. Kimberly-Clark: Process Intelligence as Catalyst for Supply Chain and Global Business Services Transformation -- 15. Merck, Sharp & Dohme: Digital Transformation in Shared Services and Beyond -- 16. PepsiCo: From Discovery to Dollars - Turning Process Insights into Value -- 17. Reckitt's Digital Transformation: Unleashing the Power of Process Intelligence at Scale -- 18. Saint Gobain: The Power of Executive Sponsorship -- 19. Siemens: Acting resiliently through hybrid Process Intelligence in the Supply Chain Metaverse -- 20. thyssenkrupp Rasselstein: Connected Supply Chain across thyssenkrupp -- 21. Uniper: Empowering Business Transformation through Process Orchestration -- Part III Future of Process Intelligence -- Academic Perspective: How Object-Centric Process Mining Helps to Unleash Predictive and Generative AI -- 23. Business Perspective: The Future of Intelligent Business Process Execution.

This book provides operational guidance on how to bring process mining to the next level, with process intelligence enabling companies to improve process efficiency and realize value. Written by practitioners, it combines the editor's 10-year experience in this field gained at Celonis and Siemens, with 12 best practice use cases from international companies representing multiple industries and domains. Part I sets the stage describing the evolution from process mining to process intelligence. The chapters guide the reader step by step, from getting started to driving adoption at scale. Success factors critical for digital transformations and a detailed path to value realization are presented. Best practices on operating models and Centers of Excellence (CoEs) are shared as accelerators for successful digital transformations. Part II presents 12 use cases written by transformation- and CoE leaders who have achieved significant impact and value with process intelligence in their respective organization. All use cases have been written independent from any particular software, with a focus on evangelizing the topic and showcasing how companies like ABB, BMW, Bosch, Merck, PepsiCo, Saint Gobin, Siemens, and others leverage the capability to drive value. Part III provides an outlook on the future of process intelligence from an academic and an operational perspective, with a special focus on the disruptive impact of GenAI with future scenarios, challenges and recommendations. The book is written by practitioners for practitioners. Readers may have responsibilities as senior executives, transformation leaders, process managers and experts, consultants, change evangelists, etc. The book provides operational, hands-on tips on how to accelerate process transformation in organizations by detailing best practices as well as possible pitfalls.

ISBN: 9783031613432

Standard No.: 10.1007/978-3-031-61343-2doiSubjects--Topical Terms:

3510732
Process mining.

LC Class. No.: T57.67 / .P76 2024

Dewey Class. No.: 658.4034

Process intelligence in action = taking process mining to the next level /
LDR:04477nmm a2200325 a 4500 001 2372151
003 DE-He213
005 20240701113912.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031613432 $q (electronic bk.)
020 $a 9783031613425 $q (paper)
024 7 $a 10.1007/978-3-031-61343-2 $2 doi
035 $a 978-3-031-61343-2
040 $a GP $c GP
041 0 $a eng
050 4 $a T57.67 $b .P76 2024
072 7 $a KJQ $2 bicssc
072 7 $a COM005030 $2 bisacsh
072 7 $a KJQ $2 thema
082 0 4 $a 658.4034 $2 23
090 $a T57.67 $b .P963 2024
245 0 0 $a Process intelligence in action $h [electronic resource] : $b taking process mining to the next level / $c edited by Lars Reinkemeyer.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xxiv, 248 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I: From Process Mining to Process Intelligence -- 1. Evolution -- 2. How to get started -- 3. Driving user adoption -- 4. Success Factors for Digital Transformation -- 5. Value as the name of the Game -- 6. Operating Models and Centers of Excellence -- 7. Process Intelligence as Transformation Enabler -- 8. Challenges, Pitfalls and Failures -- 9. Key Learnings -- Part II: Best Practice Use Cases -- 10. ABB: Driving a Sustainability Transformation with Process Intelligence -- 11. BMW: Process Intelligence for Everybody - Organizational Setup & Scaling -- 12. Bosch: Business & IT Transformation facilitated by Process Intelligence -- 13. Ingka: Inspiring a Community for Open Exchange -- 14. Kimberly-Clark: Process Intelligence as Catalyst for Supply Chain and Global Business Services Transformation -- 15. Merck, Sharp & Dohme: Digital Transformation in Shared Services and Beyond -- 16. PepsiCo: From Discovery to Dollars - Turning Process Insights into Value -- 17. Reckitt's Digital Transformation: Unleashing the Power of Process Intelligence at Scale -- 18. Saint Gobain: The Power of Executive Sponsorship -- 19. Siemens: Acting resiliently through hybrid Process Intelligence in the Supply Chain Metaverse -- 20. thyssenkrupp Rasselstein: Connected Supply Chain across thyssenkrupp -- 21. Uniper: Empowering Business Transformation through Process Orchestration -- Part III Future of Process Intelligence -- Academic Perspective: How Object-Centric Process Mining Helps to Unleash Predictive and Generative AI -- 23. Business Perspective: The Future of Intelligent Business Process Execution.
520 $a This book provides operational guidance on how to bring process mining to the next level, with process intelligence enabling companies to improve process efficiency and realize value. Written by practitioners, it combines the editor's 10-year experience in this field gained at Celonis and Siemens, with 12 best practice use cases from international companies representing multiple industries and domains. Part I sets the stage describing the evolution from process mining to process intelligence. The chapters guide the reader step by step, from getting started to driving adoption at scale. Success factors critical for digital transformations and a detailed path to value realization are presented. Best practices on operating models and Centers of Excellence (CoEs) are shared as accelerators for successful digital transformations. Part II presents 12 use cases written by transformation- and CoE leaders who have achieved significant impact and value with process intelligence in their respective organization. All use cases have been written independent from any particular software, with a focus on evangelizing the topic and showcasing how companies like ABB, BMW, Bosch, Merck, PepsiCo, Saint Gobin, Siemens, and others leverage the capability to drive value. Part III provides an outlook on the future of process intelligence from an academic and an operational perspective, with a special focus on the disruptive impact of GenAI with future scenarios, challenges and recommendations. The book is written by practitioners for practitioners. Readers may have responsibilities as senior executives, transformation leaders, process managers and experts, consultants, change evangelists, etc. The book provides operational, hands-on tips on how to accelerate process transformation in organizations by detailing best practices as well as possible pitfalls.
650 0 $a Process mining. $3 3510732
650 1 4 $a Business Informatics. $3 3591755
650 2 4 $a Business Information Systems. $3 892640
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Reinkemeyer, Lars. $3 3449570
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-61343-2
950 $a Computer Science (SpringerNature-11645)