What big data term includes reducing the amount of data cleaning that is required?

The big data term that includes reducing the amount of data cleaning that is required is veracity. Veracity refers to the quality or trustworthiness of the data, and it encompasses data accuracy, consistency, completeness, and reliability. By ensuring data veracity, it is possible to reduce the amount of data cleaning and preparation required before it can be used for analysis. This includes identifying and addressing issues with data quality, such as missing values, inconsistencies, errors, and duplication. By improving the veracity of data, it becomes more reliable and valuable for decision-making purposes.