Level 1: Tribal
At this level, an organization may function, but without any formal processes or systematic management. Data infrastructure management is left to the whims of individuals, who carry relevant knowledge and know-how in their heads. Documentation of individual duties does not exist, and professionals simply go about duties such as backing up data, monitoring networks and administering patches to servers. Informal networks seen at this level lead to inconsistent performances across various systems.
Level 2: Enforced
This stage shows some semblance of governance, which includes writing down standard operating procedures and putting controls in place to better manage workflow within its data environment. This may include deployment of a repository, in which data professionals are required to document changes or processes they have completed. At the enforced stage, stronger management takes hold, and data professionals gain a greater focus on performing tasks in a more systemized fashion, doing what is needed versus what they want to do at that moment. A greater sense of teamwork begins to evolve at this stage.