What is a key objective of data modeling?

A key objective of data modeling is to define data structures and relationships. This process involves creating a representation of the data elements and their interconnections, which is critical for understanding how data is organized and how it can be used within a system. Data modeling articulates the way data is stored, accessed, and manipulated, allowing for better design of databases and ensuring that the data architecture aligns with business needs and requirements.

By clearly defining data structures such as entities, attributes, and relationships, data modeling facilitates not just effective database design but also helps in data management practices. It ensures that data integrity and consistency are maintained, aids in identifying redundancy, and supports the development of a clear schema that can be used in various applications.

Although other options might seem relevant to data management, they do not encapsulate the primary role of data modeling itself. For instance, securing data communications relates more to data security and privacy practices rather than the structural design of data; storing large volumes of data pertains to database capacity and management, while enhancing data visualization capabilities focuses more on presenting data effectively to users rather than the foundational aspects of how that data is structured and related.