Business Process Management Cases Vol. 3
Implementation in Practice
Herausgegeben: vom Brocke, Jan; Mendling, Jan; Rosemann, Michael
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Business Process Management (BPM) is at a pivotal moment as new opportunities and demands emerge. On the one side, Artificial Intelligence and process mining facilitate entirely new process design and analysis options. On the other hand, organizations are tasked to ensure their business processes are also sustainable, responsible and explainable. In light of this fast moving context, insights into the actual practice of BPM have become indispensable points of reference.The BPM Cases Volume 3 adds 16 new cases to the existing 53 cases from Volumes 1 and 2, bringing the case collection to a tota...
Business Process Management (BPM) is at a pivotal moment as new opportunities and demands emerge. On the one side, Artificial Intelligence and process mining facilitate entirely new process design and analysis options. On the other hand, organizations are tasked to ensure their business processes are also sustainable, responsible and explainable. In light of this fast moving context, insights into the actual practice of BPM have become indispensable points of reference.
The BPM Cases Volume 3 adds 16 new cases to the existing 53 cases from Volumes 1 and 2, bringing the case collection to a total of 69 cases from many well-known organizations across industries and around the world. The focus of Volume 3 is on the return on BPM, its operationalization in light of constraints (e.g., data inaccuracies), scaling BPM across an organization and how to blend BPM into unique cultural settings. The cases show among others how to apply process mining to generate business value and how data-led BPM ensures evidence-based ways to manage processes.
The BPM Cases Volume 3 adds 16 new cases to the existing 53 cases from Volumes 1 and 2, bringing the case collection to a total of 69 cases from many well-known organizations across industries and around the world. The focus of Volume 3 is on the return on BPM, its operationalization in light of constraints (e.g., data inaccuracies), scaling BPM across an organization and how to blend BPM into unique cultural settings. The cases show among others how to apply process mining to generate business value and how data-led BPM ensures evidence-based ways to manage processes.
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