What does data governance in analytics entail?

Data governance in analytics primarily focuses on the management of data related to its availability, usability, integrity, and security. This encompasses a range of processes and policies aimed at ensuring that data is handled properly throughout its lifecycle, from collection to storage and usage.

By ensuring data availability, organizations confirm that the right individuals can access the appropriate data when needed. Usability guarantees that the data is in a format that is easy to understand and can be effectively utilized for analysis. Data integrity is crucial, as it ensures that the data remains accurate and trustworthy, while security measures protect it from unauthorized access or breaches.

This comprehensive approach allows organizations to maintain high-quality data, which is essential for effective decision-making and analytics, hence making option B the correct answer. The other options focus on more specific aspects that do not fully encompass the overarching principles of data governance in the context of analytics.