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OBASHI

OBASHI is a methodology used for modeling and managing business and IT systems. It is a framework that provides a visual representation of how data flows within an organization, and how it is processed and stored by IT systems. The framework is based on the principles of Systems Thinking, which emphasizes the importance of understanding the relationships and interactions between different components of a system.

The key components of OBASHI include a focus on the flow of data and information within an organization, the identification of key assets and processes, and the mapping of these assets and processes onto a visual diagram or model.

The importance of OBASHI lies in its ability to provide a clear and comprehensive view of an organization's IT systems and data flows. By visualizing how data moves through an organization, and how it is processed and stored by IT systems, organizations can identify potential bottlenecks, inefficiencies, and risks, and develop strategies to optimize their IT systems and processes.

The history of OBASHI can be traced back to the early 2000s, when it was developed by a group of IT consultants in the UK. Since then, OBASHI has become an increasingly popular methodology for modeling and managing business and IT systems, particularly in industries such as finance, healthcare, and manufacturing.

Examples of situations where OBASHI could be used include modeling the data flow within a hospital or healthcare system, where it is important to understand how patient data is collected, stored, and shared between different departments and systems, or modeling the supply chain of a manufacturing company, where it is important to understand how materials and products move through the organization.

Overall, OBASHI is an important methodology for modeling and managing business and IT systems, providing a comprehensive and visual representation of how data flows within an organization, and how it is processed and stored by IT systems. By using OBASHI, organizations can identify potential bottlenecks, inefficiencies, and risks, and develop strategies to optimize their IT systems and processes.


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