This book aims at capabilities for knowledge representation, collection, and integration required for business intelligence for multi-domain systems engineering and operation with applications in cyber-physical production. This book builds on established domain standards and guidelines, such as ISO 9000 quality improvement; the widely used cross-industry standard process for data mining (CRISP-DM) open standard process model to inform quality improvement; multi-disciplinary configuration management and reuse guidelines (VDI 3695) to define system configurations and engineering processes; multi-domain production engineering data on (i) products, (ii) production processes, and (iii) resources to conduct and automate production (VDI 3682) to link knowledge on product, processes and resources (PPR); the AutomationML standard (IEC 62714) to represent systems engineering knowledge independent of technologies; IT security improvement guideline (VDI 2182) to link systems engineering and operation to IT security; and failure mode and effects analysis (FMEA) (DIN 60812) to explore root causes of effects in systems engineering and operation.To connect business intelligence for quality improvement with the required multi-domain knowledge and data on systems engineering and operation, this book consists of three main parts (1) Digital transformation based on business intelligence in multi-domain systems engineering and operation; (2) Information systems engineering for business and quality improvement; and (3) Multi-domain data refinery to provide the high-quality data required for business intelligence.
