What type of modelling shows how data will meet stakeholder information needs?

Data modeling is a technique used to visually represent and define how data is structured, organized, and managed. It focuses on identifying the relationships between various data elements and illustrates how these elements fulfill the information needs of stakeholders. By creating data models, practitioners can better understand the requirements of different stakeholders and ensure that the necessary information is available and accessible.

In the context of showing how data meets stakeholder information needs, data modeling is particularly valuable because it emphasizes the characteristics of the data that are relevant to decision-making and reporting. It incorporates attributes, data types, and constraints, which help in crafting a clear picture of how data will be used, ensuring that stakeholder requirements are met effectively.

Decision modeling, while useful for understanding choices and their consequences, does not directly address how data itself is structured or presented. Similarly, a data flow diagram focuses on the flow of data within systems but does not deeply analyze the underlying data structures. Functional decomposition breaks down functions into simpler components but does not directly relate to data or stakeholder information needs. Thus, data modeling stands out as the most appropriate choice for this context.