3 Data Governance Flashcards
The purpose of data governance is to ensure that data is managed properly, according to policies and best practices. Data governance is focused on how decisions are made about data and how people and processes are expected to behave in relation to data.
1) True
2) False
1 true
P 67-68
The scope and focus of any data governance program depend on organizational needs, but most programs include:
1) Strategy
2) policy
3) data management projects
4) compliance
5) oversight
6) all of the above
6
P 68
A goal of data governance is to enable an organization to manage its data as a liability
1) True
2) False
2
P 69
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the reduction in risk:
1) Specific risk management
2) General risk management
3) data ethics
4) data security
5) publicity
6) privacy
2,4,6
P 70
Drivers for data governance most often focus on reducing risk or improving processes. Please select the elements that relate to the improvement of processes: 1) regulatory compliance 2) Data quality improvements 3) Metadata management 4) efficiency in development projects vendor management 6) All of the above
6
P 70
Data governance and IT governance are the same thing.
1) True
2) False
2
P 71
select three correct attributes of a data governance program must be:
1) Embedded
2) flexible
3) measures
4) Rigid
5) independent responsibility
6) sustainable
1,3,6
P 71
Governance ensures data is managed but does not include the actual act of managing data.
1) True
2) False
1
P 72
Data governance can be understood in terms of political governance. It includes the following three function types:
1) Legislative like functions
2) Judicial like functions
3) Ethical like functions
4) Executive functions
6) morality like functions
1,2,4
P 73-74
The data governance council (DGC) manages data governance initiatives, issues, and escalations.
1) True
2) False
1
P 74
Data governance office (DGO) focuses on enterprise-level data definitions and data management standards across all DAMA DMBOK knowledge areas. Consists of coordinating data management roles.
1) True
2) False
1
P 74
Three data governance operating models types include:
1) centralized
2) Decentralized
3) feathered
4) Federated
5) Replicated
6) Duplicated
1,4,5
P 75
Data stewardship is the least common label to describe accountability and responsibility for data and processes to ensure effective control and use of data assets.
1) True
2) False
2
P 75
Please select the correct types of data stewards:
1) Executive data steward
2) Chief data steward
3) Enterprise data steward
4) Business data steward
5) Data seller
6) All of the above
1,2,3,4
P 76-77
Data asset valuation is the process of understanding and calculating the economic value of data to an organization. Value comes when the economic benefit of using data outweighs the costs of acquiring and storing it, as
1) True
2) False
1
P 77
Some ways to measure value of data include:
1) replacement cost
2) Market value
3) selling data
4) risk cost
5) identified opportunities
6) All of the above
6
P 78
Please select the correct general accepted information principles: MULTI 1) Asset principle 2) Audit principle 3) Due diligence principle 4) going concern principle 5) ethical principle 6) All of the above
1,2,3,4
P 78
DG program must contribute to the organization by identifying and delivering specific benefits.
1) True
2) False
1
P80
Part of alignment includes developing organizational touchpoints for data governance work. Some examples of touchpoints include: Procurement and contracts; budget and funding; regulatory compliance; and the SDLC framework.
1) True
2) False
1
P 81
A data governance strategy defines the scope and approach to governance efforts. Deliverables include:
1) Charter
2) Operating framework and accountabilities
3) implementation roadmap
4) Plan for operational success
5) all of the above
6) None of the above
5
P 82
