Which of the following measures is NOT a component of data quality in Teamcenter?

The measure identified as not being a component of data quality in Teamcenter is innovation. In the context of data quality, the primary components are typically focused on ensuring that the data is complete, accurate, and consistent.

Completeness refers to the extent to which all required data is present, ensuring that no crucial information is missing. Accuracy pertains to the correctness of the data, meaning that the information reflected matches the real-world scenario or the intended values. Consistency involves maintaining uniformity of data across different datasets, ensuring that there are no conflicting values within a given set of data.

Innovation, while an essential aspect of many business strategies and processes, does not directly relate to the measures of data quality. Instead, it refers to the development of new ideas or processes, which is outside the scope of assessing the integrity and reliability of data within a system like Teamcenter.