Implementing a Data Governance Initiative
Data governance is not a big bang initiative and would not work in this fashion. Instead, global initiatives are highly complex and long-term projects. They therefore run the risk that participants might lose trust and interest over time.
It is therefore recommended to start with a manageable or application-specific prototype project and to continue iteratively. In this way, the project remains manageable and experience can be used for more complex projects or to expand the data governance programs in the company.
Typical project steps are:
define goals and understand benefits;
analyze current state and delta analysis;
derive a roadmap;
convince stakeholders and budget project;
develop and plan the data governance program;
implement the data governance program;
monitor and control.
These steps are not only to be repeated for each new program, but they also need to be repeated if changes are made.
Before the start of any data governance program, questions about the reasons for the project should always be answered in order to avoid unnecessary additional work. Similarly, existing processes should be evaluated to determine whether they can be adapted to the new requirements within the framework of a data governance program, instead of starting with the perhaps unnecessary development of new processes.
The following tools provide assistance with the implementation of a data governance program:
Data Management (DAMA) Framework
The DAMA Framework provides orientation towards identifying disciplines and functional groups – see https://www.dama.org.
BARC 9-Field Matrix
BARC’s “9-Field Matrix” is designed to determine the current state of an organization’s approach to data management and derive a roadmap from it.
The three company levels (strategic, tactical and operational) and the organizational, business and technical aspects thereof form the basis of the matrix. With its structure, data management projects can be fleshed out with specifications of the topics, processes, roles and tasks involved.
It should be noted that the projection of the levels, the organizational, business and technical aspects, and also the roles in the company should be very specific. The matrix is nevertheless suitable for any topic in the field of data management.
BARC 9-Field Matrix
The DAMA framework provides all the relevant data management topics with documented criteria. They are assigned to a field in the BARC 9-Field Matrix.
In this way, the current state for each field can be compared in a structured manner against the target state. In doing so, the delta can be identified, priorities can be set and a roadmap with concrete actions can be derived.
Roles are essential to every data governance program. These days, software tools provide data governance templates for metadata management, data quality, master data management and data integration.
The roles vary slightly, but the core ones are always as follows:
Templates and Libraries
Templates go a step further than role models. Among other things, they also include best practice processes, decision-making rules, data quality rules, key figures and task types.
”Data Governance“ Platforms
Data governance platforms offer different functional blocks for data quality, master data management, data integration, metadata management and data protection.