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Process mining in action = principle...

Reinkemeyer, Lars.

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Process mining in action = principles, use cases and outlook /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Process mining in action/ edited by Lars Reinkemeyer.
Reminder of title:	principles, use cases and outlook /
other author:	Reinkemeyer, Lars.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xxii, 207 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-030-40172-6
ISBN:	9783030401726

Process mining in action = principles, use cases and outlook /
Process mining in actionprinciples, use cases and outlook /[electronic resource] :edited by Lars Reinkemeyer. - Cham :Springer International Publishing :2020. - xxii, 207 p. :ill., digital ;24 cm.

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.

ISBN: 9783030401726

Standard No.: 10.1007/978-3-030-40172-6doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / P76 2020

Dewey Class. No.: 006.312

Process mining in action = principles, use cases and outlook /
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245 0 0 $a Process mining in action $h [electronic resource] : $b principles, use cases and outlook / $c edited by Lars Reinkemeyer.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxii, 207 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
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650 2 4 $a Big Data/Analytics. $3 2186785
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
700 1 $a Reinkemeyer, Lars. $3 3449570
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