What is a data governance framework?

Data Governance Concepts

Courtney Smith

Strategic Initiatives Manager

Data governance framework defined

Data governance framework

How we need to do it

  • Blueprint for:
    • How people, technology, and processes interact to comply with data governance policies and standards

Data governance

What we need to do

  • Principles and processes to ensure :
    • Trusted, high-quality data
    • Accessible and available data
    • Clear roles and responsibilities
Data Governance Concepts

Framework components

A set of colored boxes labeled with the six data governance framework components

Data Governance Concepts

Strategy

Defines:

  • How data should be used, treated, and managed safely, efficiently, and effectively to solve business problems and meet business goals

Ensures:

  • Data is consistently recognized and leveraged as a valuable asset

Chess pieces used to illustrate concept of strategy

Data Governance Concepts

Policies and standards

Data governance policy:

  • Documented set of data management principles
  • Outlines decision-making rights, goals, expectations, and responsibilities

Data governance standard:

  • Consistent, agreed upon guideline
  • Best practices to comply with policy

A stack of green books including ones that say policy and standards

Data Governance Concepts

Processes and technology

Critical process examples:

  • Data quality monitoring
  • Data issue remediation
  • Data sharing
  • Metadata management
  • Master data management

 

Technical capabilities required to:

  • Implement, maintain, and track processes

Graphic illustrating technical processes and quality management

Data Governance Concepts

Coordination and collaboration

Data governance

  • Involves complex processes and practices
  • Requires coordination and collaboration
  • Need defined roles, responsibilities, and interaction model

Teamwork concept showing people putting together a giant puzzle

Data Governance Concepts

Progress monitoring and communication

Measure, monitor, and communicate

  • Key performance indicators (KPIs)
  • Data quality measurements
  • Privacy and risk exposures
  • Regulatory and policy compliance
  • Return on investment (ROI) (value provided compared to cost)
  • Provides transparency into program impact, progress, and challenges

A ruler held up to blocks reading success to demonstrate measuring of progress

Data Governance Concepts

Data literacy and culture

Data literacy

  • Ability to read, work with, analyze and communicate with data
  • Requires education and training on critical thinking, research, analysis, and visualization
  • Increases understanding of the need for high quality data
  • Key to creating a data-driven culture

Illustration showing a group of people looking at data

Data Governance Concepts

Let's practice!

Data Governance Concepts

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