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 & Acquisitions.)

These types of programs almost always involve Data Quality software, which may be used by business staff, technical staff, Data Stewards, Data Governance teams, or others.

These types of programs may begin with an enterprise focus, or efforts may be local to a department or a project. Sometimes, such governance groups adopt the philosophy of “act local, but think global” so the program will be ready to scale should other groups in the enterprise want to reap the benefits being realized by early adopters.

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

Sets of Master Data
Sensitive Data
Acquired Data
Data of interest to stakeholder groups

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

Set direction for Data Quality
Collect Data Quality rules from across the organization into a set that stakeholders, Data Stewards, and other Data Governance participants can access
Reconcile gaps, overlaps, and inconsistencies in Data Quality rules
Monitor Data Quality
Report status for quality-focused initiatives
Identify stakeholders, establish decision rights, clarify accountabilities

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.

Choosing Governance Models

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Setting Governance Roles and Responsibilities

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Assigning Data Ownership

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Implementing Change Management

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Governance Communications

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Focus Areas for Data Governance: Architecture, Integration

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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.

Starting a Data Governance Program

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Governance and Issue Resolution

One of the three most important jobs of a Data Governance program is to help resolve data-related issues. These may be conflicting data definitions, data usage concerns, or problems with how data is sourced, how it is integrated, how it is protected, or a myriad of...