Chapter 3: Data Governance

Question 1

Data governance should account for the needs of:
the data management team
the Data Governance Council
the business unit
the enterprise as a whole

Answer 1

The enterprise as a whole

Question 2

What is not included in the scope of data governance?
Strategy
Policy
Standards and Quality
Oversight
Compliance
Issue Management
Data Management Projects
Data Asset Valuation
Data Storage and Operations

Answer 2

Data Storage and Operations

Question 3

What is not a goal of a data governance program?
To enable an organization to manage its data as an asset
To design and develop data analytics solutions
To define, approve, communicate, and implement principles, policies, procedures, metrics, tools, and responsibilities for data management
To monitor and guide policy compliance, data usage, and management activities

Answer 3

To design and develop data analytics solutions

Question 4

Data governance is best managed as 
a one-time project
an IT activity
a business activity
an ongoing program

Answer 4

an ongoing program

Question 5

Which is not a good definition of Data governance?
the exercise of authority, control, and shared decisionmaking over data assets
planning, monitoring, and enforcement of policies and procedures
is guided by all other data management functions
a continuous improvement process

Answer 5

is guided by all other data management functions (data governance guides all other DM functions)

Question 6

Data governance business drivers do not include
regulatory compliance
reducing risk, specifically for data security and privacy
data-driven innovation
explosion in advanced analytics and data science
process improvements in data quality, metadata, efficiency, and vendor management

Answer 6

data-driven innovation (this is not mentioned as a business driver in the DMBOK)

Question 7

The overall goal of a data management program should not be
Sustainable
Measured
Embedded
Changed

Answer 7

Changed.

Question 8

Which is a foundational principle of data governance?
Technology-driven
Centralized responsibility
Leadership and strategy
Enterprise-wide
Designed from scratch
Process-based

Answer 8

Leadership and strategy. Data governance should be business-driven not IT-driven. Responsibility should be shared, divisional/local as well as enterprise, based on frameworks and principles

Question 9

Which is an example of a centralized governance model?
Data Governance Organization oversees all activities in all subject areas
The same Data Governance operating model is adopted in each business unit
Tailored Data Governance operating models are adopted in each business unit
One Data Governance organization coordinates with multiple business units to maintain consistent definitions and standards

Answer 9

Data Governance Organization oversees all activities in all subject areas

Question 10

Which organization is responsible for the data governance framework?
Enterprise Data Stewards
Enterprise Data Governance Council
Executive Leadership Team
Enterprise Data Governance Office

Answer 10

Enterprise Data Governance Office (provides oversight, the other groups provide execution)

Question 11

Which of these is not a synonym for the other terms?
Data steward
Custodian
Trustee
Domain expert
Project manager

Answer 11

Project manager

Question 12

What is a core activity of a data steward? (choose two)
Creating  metadata
Defining policy and procedure
Creating the data strategy
Managing data quality issues

Answer 12

Creating metadata and managing data quality issues

Question 13

Which of these is the definition of data stewardship?
The exercise of authority, control, and shared decision-making (planning, monitoring, and enforcement) over the management of data assets
The accountability and responsibility for data and processes that ensure effective control and use of data assets
The measurement of progress and success and how participants have added business value and achieved objectives
The process of understanding and calculating the economic value of data

Answer 13

The accountability and responsibility for data and processes that ensure effective control and use of data assets

Question 14

Which of the following statements is true?
Data policies describe the “why” of data governance
There should be many data policies
Data policies should be brief and direct
Data policies should be local and departmental

Answer 14

Data policies should be brief and direct. Strategy defines the why, policies the what. There should be relatively few policies and they should be global.

Question 15

Which of these is the definition of data valuation?
The exercise of authority, control, and shared decision-making (planning, monitoring, and enforcement) over the management of data assets
The accountability and responsibility for data and processes that ensure effective control and use of data assets
The measurement of progress and success and how participants have added business value and achieved objectives
The process of understanding and calculating the economic value of data

Answer 15

The process of understanding and calculating the economic value of data

Question 16

Which of these is the definition of data governance?
The exercise of authority, control, and shared decision-making (planning, monitoring, and enforcement) over the management of data assets
The accountability and responsibility for data and processes that ensure effective control and use of data assets
The measurement of progress and success and how participants have added business value and achieved objectives
The process of understanding and calculating the economic value of data

Answer 16

The exercise of authority, control, and shared decision-making (planning, monitoring, and enforcement) over the management of data assets

Question 17

Which of these is not a way to measure the value of data?
Replacement cost
Market value
Identified Opportunities
Volume, Velocity, and Variety
Selling Data
Risk Cost

Answer 17

Volume, Velocity, and Variety is the definition of Big Data and does not pertain to valuation.

Question 18

Generally Accepted Information Principles do not include:
Accountability: Who’s accountable
Asset: Data is an asset and should be managed like other assets
Audit: Accuracy of data is subject to audit
Due Diligence: Report and confirm risks, if known
Going Concern: Data is critical to ongoing business success
Quantity: Measure the amount of data available to the business
Level of Valuation: Value the asset to the degree that makes sense
Liability: Financial liability is misused or mismanaged
Quality: Quality of data can affect the business financial status
Risk: Risk of data must be recognized and managed
Value: Value of data reflects its contribution to an organization offset by the cost of maintenance and movement

Answer 18

Quantity: Measure the amount of data available to the business

Question 19

What is the first activity in the planning stage of data governance?
Define the data governance strategy
Define data governance for the organization
Embed data governance
Implement data governance

Answer 19

Define data governance for the organization

Question 20

What phase of data governance planning includes the activities of readiness assessment, discovery and business alignment, and developing organizational touchpoints?
Define the data governance strategy
Define data governance for the organization
Embed data governance
Implement data governance

Answer 20

Define data governance for the organization

Question 21

What phase of data governance planning includes defining the operating framework, principles and policies, projects, change and issue management, and regulatory compliance?
Define the data governance strategy
Define data governance for the organization
Embed data governance
Implement data governance

Answer 21

Define the data governance strategy

Question 22

What phase of data governance planning includes sponsoring data standards and procedures, a business glossary, asset evaluation, and coordination with architecture groups?
Define the data governance strategy
Define data governance for the organization
Embed data governance
Implement data governance

Answer 22

Implement data governance

Question 23

What phase of data governance planning includes outlining activities, timelines, and techniques and developing a community of interest??
Define the data governance strategy
Define data governance for the organization
Embed data governance
Implement data governance

Answer 23

Embed data governance

Question 24

Which of the following tools is most critical to the core of data governance?
Websites and document management
Business glossary
Workflow tools
Data Governance Scorecards

Answer 24

Business glossary

Question 25

Which of these statements is false?
Data governance is fundamentally about organizational behavior
Data governance can be solved through technology
There are tools to support the overall data governance process
Most roll-out strategies are incremental and rarely deployed enterprise-wide as a first effort

Answer 25

Data governance can be solved through technology (it cannot, despite the availability of tools)

Question 26

Which of these statements is false?
Data Governance must be aligned to business goals and strategy
You must consider you organization’s readiness and culture and help them adapt to the change
Ignoring culture will improve chances for success
Data Governance brings value by bringing about changes in behavior
Sustaining a Data Governance program requires planning for change

Answer 26

Ignoring culture will improve chances for success (it will diminish them)

Question 27

Change management for a data governance implementation should include:
Business and data governance strategy map
Data governance roadmap
Ongoing business case for data governance
Data governance metrics
All of the above

Answer 27

All of the above

Question 28

Which of these is not a metric for data governance value?
Contributions to business objectives
Reduction of risk
Improved efficiency in operations
Performance of policies and processes

Answer 28

Performance of policies and processes is a metric for data governance sustainability.

Question 29

What data governance metric is concerned with the performance of policies and processes and with conformance to standards and procedures?
Value
Sustainability
Efficiency
Scope

Answer 29

Sustainability

Question 30

Which of these is not a metric for data governance efficiency?
Achievement of goals and objectives
Extent stewards are using the relevant tools
Effectiveness of communications/education/training
Conformance to standards and procedures

Answer 30

Conformance to standards and procedures is a metric for data governance sustainability.