What does managing change in data analytics involve?

Managing change in data analytics primarily involves overseeing the implementation of recommended actions. This process is essential because it ensures that insights derived from data analysis are effectively translated into actionable strategies that can drive improvements within an organization.

When changes are made based on data analytics, there must be a structured approach to implementing these changes to ensure they are successful and sustainable. This includes monitoring the impact of the changes, ensuring that stakeholders are on board and trained as necessary, and making adjustments based on feedback and performance metrics.

The other options do not encompass the core responsibilities involved in managing change effectively. For instance, shutting down data operations does not contribute to leveraging insights gained from analytics, while solely documenting data processes does not lead to actionable outcomes. Additionally, only analyzing data post-implementation ignores the crucial step of applying insights proactively to inform decisions and drive change.