In project management, what does combining relational tables provide to the user?

Combining relational tables enables users to access more selective information by relating data across different tables through their shared keys. This process, often referred to as joining tables in a relational database, allows users to create complex queries that can filter and aggregate data, drawing relevant subsets from multiple sources. By doing so, users can refine their results to meet the specific needs of their project management tasks, ensuring that only pertinent data is analyzed and presented.

While the other options discuss different aspects of data manipulation, they do not capture the fundamental advantage of combining relational tables. A subset of columns pertains to data selection rather than the integration feature itself, additional data formats refer to the variety of ways information can be structured or displayed, and segmentation of elements focuses on dividing data rather than utilizing it across tables. Therefore, combining relational tables primarily provides the ability to extract more targeted and relevant information from interconnected datasets.