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:

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.

Defining Organizational Structures

There is no single “right” way to organize Data Governance and Stewardship. Some organizations have distinct Data Governance programs. Others embed Data Governance activities into Data Quality or Master Data Management programs.

Governance and Alignment

Data Governance is a balancing act. On the one hand, you need to exert control over how groups create data, manage data, and use data. On the other hand, you need to promote appropriate levels of flexibility. You need to ensure that data-related efforts support the...

Funding Models: Funding Data Governance

The DGI Data Governance Framework addresses funding two ways: Obtaining funding and support is a phase in the Data Governance Life Cycle Funding is part of one of the components of the framework. What type of funding is needed? Data Governance programs need to...

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.

Focus Areas for Data Governance: Architecture, Integration

This type of program typically comes into existence in conjunction with a major system acquisition, development effort, or update that requires new levels of cross-functional decision-making and accountabilities.What other types of groups and initiatives might want...

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...

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...

Engaging Stewards and Stakeholders

It seems like there are two types of Data Governance and Stewardship programs: Thriving ones, with highly-engaged stakeholders, and Ones whose futures are in question, since stakeholders and stewards are only sporadically involved or give only weak support to the...

Assigning Data Ownership

One of the tenets of Data Governance is that enterprise data doesn’t “belong” to individuals. It is an asset that belongs to the enterprise. Still, it needs to be managed…