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Precise instructions and descriptions in this book enable users, consultants, IT managers, and students to understand Microsoft Dynamics 365 for Finance and Operations rapidly. Dynamics 365 for Finance and Operations is a comprehensive business management solution for large and mid-sized organizations, which includes the core products Dynamics 365 Supply Chain Management and Dynamics 365 Finance. This book provides the required knowledge to handle all basic business processes in the application. The exercises in the book also make it a good choice for self-study. Content Basics and Technology – Navigation and User Interface – Supply Chain Management – Trade and Logistics – Advanced Warehouse Management – Manufacturing – Financial Management Target Group IT executives IT professionals and consultants for business management solutions New and current users of Dynamics 365 Students of information technology, business administration, and similar disciplines.

Office management --- Business management --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- bedrijfseconomie --- informatica --- computerprogramma's --- bedrijfsadministratie --- organisatiecultuur --- programmeertalen --- informatica management --- Information technology—Management. --- Business—Data processing. --- Microsoft software. --- Microsoft .NET Framework. --- Computer Application in Administrative Data Processing. --- Business Informatics. --- Microsoft. --- Information technology --- Business --- Management. --- Data processing.

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This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.

Logic --- Office management --- Business policy --- Business management --- Computer science --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- applicatiebeheer --- apps --- big data --- data science --- computers --- informatica --- bedrijfsadministratie --- programmeren (informatica) --- informatiesystemen --- organisatiecultuur --- informatietechnologie --- software engineering --- computerkunde --- architectuur (informatica) --- Application software. --- Information storage and retrieval. --- Information technology. --- Business—Data processing. --- Software engineering. --- Computer logic. --- Information Systems Applications (incl. Internet). --- Information Storage and Retrieval. --- IT in Business. --- Software Engineering. --- Logics and Meanings of Programs. --- Computer Appl. in Administrative Data Processing. --- Fouille de données --- Mémorisation des données --- Analyse des données --- Traitement des données --- open data --- text and data mining --- Information storage and retrieval