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.

Focus Areas for Data Governance: Privacy, Compliance, Security

This focus is often seen combined with a focus on policy enforcement. It’s also seen combined with a focus on Data Quality.

The program almost always results from a senior management mandate. It may be formally sponsored by Business or IT, or it may be an outgrowth of a Governance, Risk, and Compliance (GRC) program.

These programs generally begin with an enterprise scope, but often efforts are limited to specific types of data. They almost always include technologies to locate sensitive data, to protect data, and/or to manage policies or controls.

 

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

  • Help locate sensitive data across systems
  • Align governance, compliance, security, and technology frameworks and initiatives
  • Help assess risk and define data-related controls to manage risk
  • Help enforce regulatory, contractual, architectural compliance requirements
  • Support Access Management and Security requirements
  • Identify stakeholders, establish decision rights, clarify accountabilities

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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.

Implementing Change Management

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Focus Areas for Data Governance: Policy, Standards, Strategy

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...

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...

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.

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...

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.

Working with Data Stewards

Approaches to Assigning Data Ownership and Stewardship Organizations can take multiple approaches to assigning Data Owners and Data Stewards for enterprise data. In doing so, they need to consider several factors and answer the following questions.Question #1:  Should...

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.

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 &...