A company needs to determine the level of completeness of information system data. Which tool should be used?

Data analytics focuses on interpreting and analyzing data to derive insights and inform decision-making. While it can highlight trends and patterns, it does not specifically assess the completeness of the data. Therefore, it is not the most suitable tool for evaluating how complete the information system data is.

Data cleansing involves correcting or removing inaccurate, incomplete, or irrelevant data from a dataset. While it is essential for improving data quality, it does not inherently measure the completeness of data. Instead, it acts as a remedial step after issues related to data completeness have been identified.

Data governance refers to the overall management of data availability, usability, integrity, and security. While it establishes policies and standards for data management, it is more about framework and compliance rather than directly assessing or measuring the level of completeness of data within information systems.