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

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Dealing With Politics

It’s essential that Data Governance and Stewardship program facilitators avoid being “caught up” in politics. It’s our jobs to acknowledge the realities of the situations we work with, while avoiding taking sides or engaging in behaviors that could be perceived as favoring one set of data stakeholders at the expense of others.

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.

Setting Governance Roles and Responsibilities

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...

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...

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...

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 –...

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.

Governance Communications

At a Data Governance Conference in Orlando, Florida (USA), a group of managers of successful Data Governance programs reached a startling consensus: They agreed that Data Governance is actually somewhere between 80 and 95% communications!How can this be? They said...

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...

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 &...