This type of program typically comes into existence because some group within the organization needs support from a cross-functional leadership body. For example, companies moving from silo development to enterprise systems may find their application development teams resisting the guidance of Data Architects and Modelers.

Focus on Policy

Formal Data Governance policies, backed by cross-functional Stewards, can give needed weight to architectural positions. What other types of groups and initiatives might want such a program focus?

 

Enterprise initiatives such as

  • Enterprise Data Management (EDM)
  • Business Process Reengineering (BPR)
  • Standardization on platforms
  • Acquisition of data sets and systems (purchased data, ongoing data feeds, or changes due to Merger and Acquisitions activity).

What type of data do such programs generally address in early iterations of the program?

  • Sets of Master Data
  • Metadata
  • Sensitive Data
  • Acquired Data

A charter for this type of program may hold Data Governance and Stewardship participants accountable to:

  • Contribute to standardized data definitions
  • Prioritize the need for formal policy, standards, or data-related requirements
  • Write policy, standards, or data-related requirements
  • Collect policy, standards, or requirements from across the organization into a set that stakeholders, Data Stewards, and other Data Governance participants can access
  • Reconcile gaps, overlaps, and inconsistencies in policy, standards, or requirements
  • Write business rules to address the applicability of policy, standards, or requirements
  • Set accountabilities for the design, implementation, monitoring, and enforcement of policy, standards, or requirements
  • Work with Content Management, Document Management, Portal Management, Intranet teams, and others to consistently post policy, standards, or requirements
  • Report status for policy enforcement initiatives
  • Identify stakeholders, establish decision rights, clarify accountabilities

Read Next:

Governance and Decision-Making

Remember our (long) definition for Data Governance? “Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and...

Focus Areas for Data Governance

All Data Governance programs are not alike. Quite the contrary: programs can use the same framework, employ the same processes, and still appear very different. Why is this? It’s because of what the organization is trying to make decisions about or enforce rules for....

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.

Establishing a Data Governance Office

Most organizations that begin a formal Data Governance and Stewardship effort need a support team to facilitate and coordinate activities of councils, stewards, and stakeholders. This support team may be individual contributors who have been doing this work informally...

Focus Areas for Data Governance: Data Quality

This type of program typically comes into existence because of issues around the quality, integrity, or usability of data. It may be sponsored by a Data Quality group or a business team that needs better quality data. (For example: Data Acquisition or  Mergers &...

Starting a Data Governance Program

A successful Data Governance program does not begin with the design of the program! Before you start deciding who goes on what committee, you should be clear about your program’s value statement. You should have developed a roadmap to share with stakeholders. Those...

Defining Data Governance

How you define your program will influence your ability to manage it — to keep all participants on focus, in sync, and striving toward the same goals.

Data Governance Program Phases

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: Management Alignment

This type of program typically comes into existence when managers find it difficult to make “routine” data-related management decisions because of their potential effect on operations or compliance efforts.Managers may realize they need to come together to make...

Choosing Governance Models

It’s important to define the organizational structure of your Data Governance program. But before you can do that you have to define your governance model at a higher level. You need to consider what types of decisions your governance bodies will be called upon to...