Data is an increasingly important asset for many organizations. This book shows how to model data in a way that allows to exploit this asset effectively and in every respect. To this end, it combines and exploits scientific (semiotics, relational model, etc.) and pragmatic theories (most prominently: the DAMA wheel) and provides a coherent overview from a business and an IT/ICT perspective.
After a brief introduction, the remaining book consists of three parts. In Part I “Data”, the focus is on understanding data. It includes theories in semiotics, the relational model,...
Data is an increasingly important asset for many organizations. This book shows how to model data in a way that allows to exploit this asset effective...
This textbook provides guidance to both students and practitioners of enterprise architecture (EA) on how to develop and maintain enterprise models. Rather than providing yet another list of EA notations and frameworks from A to Z, it focuses on methods to perform such tasks. The problem of EA maintenance, named Enterprise Cartography, is an important aspect addressed in this book because EA is a never ending challenge that increases as the organization transformations pace also increases. The long time perspective also entails the evolution of architectural frameworks and notations,...
This textbook provides guidance to both students and practitioners of enterprise architecture (EA) on how to develop and maintain enterprise models...