Professional organizations in the data management profession state that "Data asset management is the development and execution of architectures, policies, practices, and procedures that successfully manage requirements throughout an organization's data lifecycle." It covers many professions. "Management" is more important than "Data management" and may not have direct scientific contact with lower level aspects of data management, such as using batch processing time as the main argument.