This uniform understanding eliminates ambiguity, as each type comes with a defined set of attributes. By establishing a common language for data, typing reduces the risk of misinterpretation and errors that could compromise data quality. This standardization is crucial for collaborative environments where data is shared and utilized by diverse stakeholders, enhancing the ecosystem's overall reliability and ensuring that analyses and decisions are based on a consistent set of assumptions.