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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Focus Areas for Data Governance: Architecture, Integration

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Setting Governance Roles and Responsibilities

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Working with Data Stewards

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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...

Governance and Alignment

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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.

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...

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...