Which of the following best describes data design?

Data design is fundamentally about structuring and organizing data in a way that makes it accessible, understandable, and usable for analysis. When you break down complex problems into smaller, manageable parts, you’re effectively applying the principles of data design. This process allows data analysts to focus on specific aspects of the data, making it easier to identify trends, draw insights, and make data-driven decisions.

This approach is vital in data design as it facilitates clarity and efficiency in working with large datasets. By segmenting complex questions or datasets, analysts can employ more targeted strategies to explore the data, thus making the overall analysis more effective.

Collecting large amounts of data is more related to data acquisition, while visualizing data pertains specifically to the representation of information, which does not encompass the entirety of data design. Similarly, determining the profitability of a business is a goal that may use data design, but it is not a description of what data design itself entails.