What practice helps organizations maintain control over their data as it moves through different environments?

Data lifecycle management is the correct practice that helps organizations maintain control over their data as it moves through different environments. This approach involves the systematic process of managing data from its creation and initial storage to the time it becomes obsolete and is deleted. By applying data lifecycle management, organizations ensure that they not only maintain data quality and optimize storage resources but also apply the appropriate security measures and compliance protocols at each stage of the data's life.

This practice allows organizations to categorize data based on its usage and importance, facilitating decisions on data retention, archiving, and deletion. Proper management ensures that data is accessible when needed while being secure and compliant with regulatory requirements throughout its journey across various environments, such as on-premises, cloud, and hybrid systems.

Other practices like data governance focus on establishing policies, procedures, and standards for data management but do not specifically address the control aspect tied to the data's movement through its lifecycle. Data security is mostly concerned with protecting data from unauthorized access or breaches, and while it supports lifecycle management, it does not encompass the broader management of data over time. Data monitoring, although important for tracking data access and usage, does not provide the comprehensive approach needed to maintain control through all stages of data flow.