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Kostenrechnung, Kostenanalyse und Kosteninformationen zur Unternehmenssteuerung: das Lehrbuch ist zur grundlegenden Einarbeitung in die Gebiete der Kostenrechnung und ihrer Anwendungen, insbesondere für das operative Controlling, konzipiert.

Process mining.

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Onderzoek naar de gewenste en ongewenste karakteristieken van een process mining programma en techniek voor professionele doeleinden in de consulting sector. Dit onderzoek werd uitgevoerd via diepte-interviews.

Process Mining. --- S185-handels-en-industriële-economie. --- T400-fijne-chemicaliëntechnologie.

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This thesis, which is the concretization of nine month of researches and analyses within KPMG Luxembourg, allowed us to gain insight into the specificities, the market and the possible utilizations of process mining, an artificial intelligence technology that turns data into insights. 

This work, that analyzes on various aspects this technology, falls within the development framework of a process mining service offering by KPMG Luxembourg, and aims at providing answers to the following question “Which aspects need to be considered in the development of a process mining service offering, and what are their implications?”. Answers for this question are studied thanks to four main parts in this work, that gradually evolve from a theoretical framework towards a practical utilization of process mining.

The state of art of the technology was our first concern. Process mining allows organizations to discover, compare and enhance their actual processes by using the data generated in their information systems during their operations. The growing interest for this technology led to a booming market that is estimated to be, in five years, ten times bigger than now. To confirm the insights we have got in the first part, we have subsequently constituted and analyzed a database of 135 process mining projects in Europe in order to study their characteristics and gain insights into the European market. Healthcare, financial and industrials appears to be the areas where the technology is the most used to enhance various type of projects.

We then analyzed the practical aspects and conditions for KPMG in investing in Celonis, the market leader in process mining software. The last part constitutes a practical analysis of a credit application process with the Celonis software, for the purposes of demonstrating some process mining capabilities and assessing the interface. Finally, this work ends with the summary of our findings and some future recommendations.

Keywords: Process Mining, Business Process Management, Data Mining, Process, Data, Discovery, Conformance, Enhancement --- Sciences économiques & de gestion > Gestion des systèmes d'information

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This book presents a framework for developing as well as a comprehensive collection of state-of-the-art process querying methods. Process querying combines concepts from Big Data and Process Modeling and Analysis with Business Process Intelligence and Process Analytics to study techniques for retrieving and manipulating models of real-world and envisioned processes to organize and extract process-related information for subsequent systematic use. The book comprises sixteen contributed chapters distributed over four parts and two auxiliary chapters. The auxiliary chapters by the editor provide an introduction to the area of process querying and a summary of the presented methods, techniques, and applications for process querying. The introductory chapter also examines a process querying framework. The contributed chapters present various process querying methods, including discussions on how they instantiate the framework components, thus supporting the comparison of the methods. The four parts are due to the distinctive features of the methods they include. The first three are devoted to querying event logs generated by IT-systems that support business processes at organizations, querying process designs captured in process models, and methods that address querying both event logs and process models. The methods in these three parts usually define a language for specifying process queries. The fourth part discusses methods that operate over inputs other than event logs and process models, e.g., streams of process events, or do not develop dedicated languages for specifying queries, e.g., methods for assessing process model similarity. This book is mainly intended for researchers. All the chapters in this book are contributed by active researchers in the research disciplines of business process management, process mining, and process querying. They describe state-of-the-art methods for process querying, discuss use cases of process querying, and suggest directions for future work for advancing the field. Yet, also other groups like business or data scientists and other professionals, lecturers, graduate students, and tool vendors will find relevant information for their distinctive needs. Chapter "Celonis PQL: A Query Language for Process Mining" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Process mining. --- Querying (Computer science) --- Business --- Data processing. --- Database interrogation --- Interrogation of databases --- Database searching --- Reporting (Computer science) --- WHOIS (Computer network protocol) --- Electronic data processing --- Data mining --- Operations research --- Information technology --- Quantitative research. --- Application software. --- Business Process Management. --- Data Analysis and Big Data. --- Computer and Information Systems Applications. --- Management. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research

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This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 28 papers included in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: 2nd International Workshop on Event Data and Behavioral Analytics (EDBA) 2nd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) 2nd International Workshop on Streaming Analytics for Process Mining (SA4PM) 6th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) 4th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) 2nd International Workshop on Trust, Privacy, and Security in Process Analytics (TPSA) One survey paper on the results of the XES 2.0 Workshop is included.

Data mining --- Electronic data processing --- Process Mining --- Process Discovery --- Process Analytics --- Process Querying --- Conformance Checking --- Predictive Process Monitoring --- Data Science --- Event Data --- Streaming Analytics --- Machine Learning --- Decision Support Systems --- Business Process Management --- Information Systems --- Petri Nets --- Open Access --- Data mining. --- Information technology --- Data Mining and Knowledge Discovery. --- Business Process Management. --- Computer Application in Administrative Data Processing. --- Management. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Accés obert --- Mineria de dades --- Tecnologia de la informació --- Gestió de la informació --- Processament de dades