The Data Modeling Guidebook emphasizes the significance of data modeling for industrial organizations undergoing digital transformation. It covers the essentials of leveraging ISA-95 standards for data modeling, offering best practices and addressing common pitfalls. The guidebook aims to provide readers with insights on standardizing, contextualizing, and securely managing data to enhance operational efficiency and decision-making. By outlining steps from starting with a use case to selecting integration architecture and establishing secure connections, it serves as a comprehensive manual for creating effective data models and instances. This structured approach facilitates the extraction of value from vast amounts of industrial data, ensuring it is fit for purpose and scalable.

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