What is the benefit of using macros in dbt?

Using macros in dbt allows for the creation of reusable logic that can be applied across multiple models, which significantly enhances development efficiency and maintainability. When developers implement a commonly used piece of SQL or a transformation logic in a macro, it can be referenced in various models without the need to rewrite the same code. This not only reduces redundancy but also ensures consistency across models; if any changes to the logic need to be made, they can be modified in one place, which automatically updates all models that use that macro.

The other options provided do not accurately capture the specific advantages of macros. For instance, compressing data for storage is more related to data management and technical storage solutions rather than logic reuse. Visualizing data effectively pertains to output representation and reporting, which falls outside the scope of what macros address. Enhancing data precision relates to data accuracy and transformation methods rather than the structural or operational benefits that macros offer in terms of improving code reuse and efficiency in dbt projects.