This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.
This book presents fundamental concepts and technologies to tackle interoperability between information systems. It details interoperability at the data, service, and process level, and combines theoretical foundations with hands-on presentation of technologies to enable the development of sound and practical integration. Chapter 1 details general interoperability challenges and describes the structure of the book. To start with, Chapter 2 presents technologies for the exchange of data between two selected and highly relevant data formats, i.e., relational databases and XML. Next, Chapter 3 explains concepts for schema matching and mapping and data integration as well as the technological basis for implementing them based on query and transformation languages like XPath and XSLT. Chapter 4 then turns to service interoperability and explains two related technologies -- REST and GraphQL -- in detail. In Chapter 5, fundamentals for designing process orchestrations at the conceptual level are presented, focusing on how to model process orchestrations and how to verify their correctness and soundness, and showing BPMN as the de facto modeling standard. Chapter 6 then details the concepts and languages for the implementation of process orchestrations, including the presentation of execution languages for process orchestrations that are equipped with a formal semantics, e.g., Workflow Nets, the Refined Process Structure Tree, and CPEE Trees. Subsequently, Chapter 7 focuses on the growing number of distributed, loosely coupled, and often non-interoperable applications through the concepts of enterprise application integration and explains these by an implementation in CPN Tools and by two case studies. Eventually, Chapter 8 is lifting the orchestration and integration concepts and technologies to the choreography level by dealing with the interoperability between different process orchestrations. Chapter 9 concludes the book by featuring success factors for interoperability projects. It also provides a range of open research directions for interoperability such as compliance, sensor fusion, and blockchain technologies. The book is mainly intended as a textbook to be used for developing and teaching courses on interoperability and integration. To this end, it is accompanied by a Web site with additional teaching materials. It also spans a bridge from researchers to graduate students and practitioners by providing a deep understanding on practical interoperability challenges and solutions. The focus here is put on de facto standards and open-source systems and tools to enable interoperability solutions at low cost.
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