Who does what in a Data Governance program?

First, a group of individuals (or a hierarchy of groups) representing a cross-section of stakeholder groups makes a set of rules in the form of policies, standards, requirements, guidelines, or data definitions. (Or, they gather and align rules. Or address gaps and overlaps in rule sets. Or interpret rules. Or establish guidelines for how to layer rules on top of each other.)

Setting Governance Roles and Responsibilities

This group of rule-makers may go by several names: a Data Governance Board, a Data Stewardship Council, etc. They may be self-organizing, or they may be called together by another body such as a Data Governance Office (DGO) that coordinates and facilitates efforts.

Next, Data Governance always includes a mechanism for resolving data-related issues. Issues are generally addressed at several levels, with a clear escalation path. A particular issue, then, may be resolved by an individual Data Steward, a Stewardship working group, the entire Data Stewardship Council, or the highest-level Data Governance Board.

Finally, the best Data Governance programs proactively strive to stop data-related problems before they begin by reducing ambiguity, establishing clear accountabilities, and disseminating data-related information to all Data Stakeholders. Such programs usually include a Data Governance Office (DGO) or its equivalent to provide alignment between stakeholders and to provide ongoing support to programs, projects, and groups that work with data.

As you perform the activities needed to gain support and funding, remember that your program may plan to address multiple focus areas. Each new effort should be introduced using the seven steps of the life cycle. Even specific governance-led projects, such as creating a set of data standards, will want to follow the Data Governance Life Cycle steps.

Focus Areas for Data Governance: Data Warehouses and Business Intelligence (BI)

This type of program typically comes into existence in conjunction with a specific data warehouse, data mart, or BI tool. These types of efforts require tough data-related decisions, so organizations often implement governance to help make initial decisions, to...

Goals and Principles for Data Governance

What do you want Data Governance to accomplish? Regardless of the focus of your program, chances are you hope to accomplish the following universal goals for Data Governance programs: Goal – Enable better decision-making Goal – Reduce operational friction Goal –...

Focus Areas for Data Governance: Privacy, Compliance, Security

This type of program typically comes into existence because of concerns about Data Information Security controls, or compliance. Compliance, in this context, may refer to regulatory compliance, contractual compliance, or compliance with internal requirements.This...

Demonstrating Value

Everything an organization does should tie to one of three universal value drivers. Data Governance efforts MUST tie back to one or more of these drivers. And YOU must communicate how it does.