My organization has about 30 database users: 2 admins who report to different departments, 6 power users in 3 different departments, 6 seasonal staff who do some data entry, and the rest who view Contacts, Accounts and Reports. We're looking for a way to keep everyone on the same page when we make changes to the database.
I've heard that large organizations use a Governance framework and create a cross-departmental Center of Excellence, but that seems like it might be overkill for an organization our size. How do you handle data governance and change management for a nonprofit with fewer than 50 employees?
The Data Management Champion role primarily functions from the business perspective, while understanding the technical application and implications. This role oversees organization-wide policies and practices for data management, and typically serves at the executive level. Primary functions of the Champion are ensuring policies include legal and regulatory requirements and reporting back to the executive board regarding the state of data quality and value (Inter-governmental Group on Geographic Information, 24).
The Data Manager functions equally in business and technology perspectives, since they work closely with both the Data Management Champion and the Data Stewards. This role maintains corporate data policies and guidelines, trains staff regarding these policies and guidelines, oversees metadata resources, and manages Data Stewards (Inter-governmental Group on Geographic Information, 24-25). In large organizations, a Data Manager may be limited to the oversight of a single data subject area.
Data Stewards function at the ground level with the data, applying both technical and business expertise; this role focuses their efforts on one, maybe two, business data subjects. Their intimate knowledge of the business data subject allows them to effectively perform their role. Data Stewards are responsible for ensuring data use is authorized and follows stated policies. Furthermore, they maintain the data catalog, data quality, and data security of the business data-set, and perform periodic reviews of data value (Inter-governmental Group on Geographic Information, 25-26).