The metapattern is a powerful cutting-edge approach to large-scale information analysis and modeling. This highly focused analysis tool emphasizes reusability and - unlike other modeling approaches - structurally incorporates the elements of both multiple contexts and time. As a result systems developed using the metapattern approach exhibit the adaptability and extended life cycle that is critical to the survival of systems in the information age. The metapattern is also valuable for aligning complex and variable requirements, even across a multitude of organizations with different processes. Written by its originator, Metapattern: Context and Time in Information Models introduces the technology and eases the learning curve with clear explanations, practical examples, and numerous illustrations. This book explains the fundamental metapattern concepts of context and intext, along with type, time, and compositions. In particular, it discusses how the recognition of multiple contexts results in a powerful approach to conceptual information modeling. A large-scale case study also demonstrates how the metapattern approach can be applied to a financial accounting system and other real-world application.