Which of the following is an element of data governance?

Data governance encompasses the management of data's availability, usability, integrity, and security within an organization. Focusing on data availability and usability aligns with the core goals of data governance, which aim to ensure that the right people have access to the right data at the right time and that the data can be effectively utilized to meet business objectives. This is crucial for maintaining data quality and ensuring that it serves its intended purpose without unnecessary barriers.

The other options, while related to data management, do not directly capture the essence of data governance. For instance, a data processing methodology refers to the specific techniques or processes used to manage data but does not encompass the overarching principles of governance. Data low latency is more about performance metrics regarding speed rather than governance principles. Data redundancy pertains to the duplication of data, which can affect efficiency and storage but does not represent governance practices designed to manage data quality and accessibility.

Overall, the emphasis on data availability and usability correctly highlights key objectives of data governance, ensuring that data remains a valuable asset for decision-making and operational efficiency.