Process Mining in Action (Record no. 185598)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06562nam a22005775i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-40172-6 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423130141.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200314s2020 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030401726 |
| -- | 978-3-030-40172-6 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-40172-6 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HD30.19-.29 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UF |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM005000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UXJ |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.3 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Process Mining in Action |
| Medium | [electronic resource] : |
| Remainder of title | Principles, Use Cases and Outlook / |
| Statement of responsibility, etc | edited by Lars Reinkemeyer. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2020. |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXII, 207 p. 87 illus., 79 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Part I Principles and Value of Process Mining -- 1 Process Mining in a Nutshell -- 2 How to get Started -- 3 Purpose: Identifying the right Use Cases -- 4 People: The Human Factor -- 5 Processtraces: Technology -- 6 Challenges, Pitfalls and Failures -- 7 Process Mining, RPA, BPM and DTO -- 8 Key Learnings -- Part II Best Practice Use Cases -- 9 Siemens: Driving global change with the Digital Fit Rate in Order2Cash -- 10 Uber: Process Mining to optimize Customer experience and Business performance -- 11 BMW: Process Mining @ Production -- 12 Siemens: Process Mining for operational efficiency in Purchase2Pay -- 13 athenahealth: Process Mining for Service Integrity in Healthcare -- 14 EDP Comercial: Sales and Service Digitization -- 15 ABB: From Mining Processes towards Driving Processes -- 16 Bosch: Process Mining – a Corporate Consulting Perspective -- 17 Schukat: Process Mining enables Schukat electronic to reinvent itself -- 18 Siemens Healthineers: Process Mining as Innovation Driver in Product Management -- 19 Bayer: Process Mining supports Digital Transformation in Internal Audit -- 20 Telekom: Process Mining in Shared Services -- Part III Outlook: Future of Process Mining -- 21 Academic View: Development of the Process Mining Discipline -- 22 Business View: Towards a Digital Enabled Organization. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing the state of the art in domain know-how. Providing a set of industrial case studies and best practices, it complements academic publications on the topic. Further the book reveals the challenges and failures in order to offer readers practical insights and guidance on how to avoid the pitfalls and ensure successful operational deployment. The book is divided into three parts: Part I provides an introduction to the topic from fundamental principles to key success factors, and an overview of operational use cases. As a holistic description of process mining in a business environment, this part is particularly useful for readers not yet familiar with the topic. Part II presents detailed use cases written by contributors from a variety of functions and industries. Lastly, Part III provides a brief overview of the future of process mining, both from academic and operational perspectives. Based on a solid academic foundation, process mining has received increasing interest from operational businesses, with many companies already reaping the benefits. As the first book to present an overview of successful industrial applications, it is of particular interest to professionals who want to learn more about the possibilities and opportunities this new technology offers. It is also a valuable resource for researchers looking for empirical results when considering requirements for enhancements and further developments. “If your organization cares about operational performance and has a culture that thrives on transparency, Process Mining is the answer to your prayers. And there is no better source than this book to learn about what Process Mining is, how it's being used in leading companies, and where it might go in the future.” Thomas H. Davenport (Distinguished Professor, Babson College and Research Fellow, MIT Initiative on the Digital Economy); Author of Process Innovation, Competing on Anal “Unlike the traditional plan-execution process improvement, Process Mining allows full transparency of actual processes and activities. Process Mining in Action describes principles, challenges and learnings from years of practice.” Seungjin Whang (Professor of Operations, Information & Technology at Stanford Graduate School of Business) “This is a timely book that presents operational experiences and brings Process Mining application problems to academic research communities. It inspires researchers to further develop frameworks and techniques to tackle broader process analytics challenges over multiple application domains in order to complement the fast growing operational community.” Jianwen Su (Professor of Computer Science at University of California, Santa Barbara) Features and Benefits First book to present an overview of successful industrial experiences of process mining Operational experts describe use cases and business impact along the whole value chain Discusses the challenges, lessons learned and failures in order to provide guidance on how to avoid pitfalls and ensure successful operational deployment. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Information technology |
| General subdivision | Management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Application software. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Quantitative research. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Application in Administrative Data Processing. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Business Process Management. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer and Information Systems Applications. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data Analysis and Big Data. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big Data. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data Mining and Knowledge Discovery. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Reinkemeyer, Lars. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030401719 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030401733 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030401740 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-40172-6">https://doi.org/10.1007/978-3-030-40172-6</a> |
| 912 ## - | |
| -- | ZDB-2-SCS |
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| -- | ZDB-2-SXCS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
No items available.