Dettagli del libro
Formato
Kindle
Pagine
229
Lingua
Inglese
Pubblicato
Jan 1, 2020
Editore
Springer
Edizione
1st ed. 2020
ISBN-10
3030401723
ISBN-13
9783030401726
Descrizione
In this insightful exploration, the author delves into the transformative potential of process mining within organizations. By examining a variety of practical applications, readers are introduced to the fundamental principles that govern the analysis and visualization of processes. Each use case demonstrates how effectively harnessing data can uncover inefficiencies and drive operational improvements across the value chain.
Lars Reinkemeyer highlights the tangible business impacts derived from implementing process mining strategies. Through comprehensive case studies, he illustrates how organizations have leveraged this technology to optimize workflows, enhance decision-making, and ultimately achieve greater profitability. The discussions transcend technical jargon, making complex concepts accessible to a broad audience, including business leaders and analysts alike.
The book also provides an outlook on the future of process mining, touching on emerging trends and technological advancements. By synthesizing current practices with innovative insights, it serves as a valuable resource for those looking to stay ahead in the rapidly evolving landscape of data-driven decision-making.
Lars Reinkemeyer highlights the tangible business impacts derived from implementing process mining strategies. Through comprehensive case studies, he illustrates how organizations have leveraged this technology to optimize workflows, enhance decision-making, and ultimately achieve greater profitability. The discussions transcend technical jargon, making complex concepts accessible to a broad audience, including business leaders and analysts alike.
The book also provides an outlook on the future of process mining, touching on emerging trends and technological advancements. By synthesizing current practices with innovative insights, it serves as a valuable resource for those looking to stay ahead in the rapidly evolving landscape of data-driven decision-making.
Generi
Scienza e Tecnologia
Business ed Economia
Arte e Fotografia