Data governance is meant to solve business problems that arise from data, including inconsistent data in reports and dashboards, errors caused by data in business transaction processing, and unclear or inconsistent data rules. A data governance program:
- Identifies root causes of data problems that impede business effectiveness;
- Establishes management control and compliance over business and IT activities that affect these root causes;
- Produces the desired outcomes and measures of success for the Data Governance program.
RCG believes that successful governance has defining characteristics that need to be incorporated into the governance program. These are:
- Data Governance is a management process.
The methods and processes that enable Governance must be clear, roles and responsibilities must be well-defined, and accountabilities must be distinct and measurable;
- Data Governance helps the company achieve its business goals.
Because Governance is a management process, its effectiveness can only be measured by how well it helps a company achieve its goals;
- Data Governance fits the company.
Each company is different and Governance is not a one size fits all proposition and to be successful, Governance must fit the company rather than have the company fit the Governance;
- Data Governance is proactive.
This requires identifying existing problems that need to be corrected and developing a preventive approach that will stop problems from being introduced through work or “business as usual;”
- Governance focuses on artifacts.
An artifact is an official working document that clarifies which objects are being “governed,” why governing these objects is important, the object's correct and governed form, and the benefits governing these objects will deliver to the business.
Establishing an effective data governance program is essential for developing trustworthy data.