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 Data Governance

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Working with Data Stewards

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Goals and Principles for Data Governance

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Focus Areas for Data Governance: Architecture, Integration

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Focus Areas for Data Governance: Policy, Standards, Strategy

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Governance and Issue Resolution

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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...

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 &...

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: 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...