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CDMP > Governance > Flashcards

Governance Flashcards

1
Q

Governance definition (DAMA)

A

The exercise of authority, control, and shared decision-making over the management of data assets.

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2
Q

three parts of shared decision making

A

planning
monitoring
enforcement

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3
Q

governance metrics

A

regulatory compliance
values
effectiveness
sustainability

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4
Q

What does data governance need?

A

a strategic & high level view across the whole organisation

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5
Q

Governance is not…

A
  • a one off activity
  • the responsibility of the technology and IT department
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6
Q

aim of data governance

A

continual improvement via evolution for data to become a corporate asset and part of the culture

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7
Q

What is the biggest block of organisational shift?

A

culture

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8
Q

Asset management (ISO 55000)

A

the co-ordinated activity of organisation to realise value from assets

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9
Q

Asset (ISO 55000)

A

An asset is an item, thing or entity that has potential or actual value to an organisation

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10
Q

Characteristics of data

A
  • non depletable
  • reusable
  • copyable
  • enterprise wide
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11
Q

Data stewardship

A

business data stewards and SMEs partnered with data management professional that are accountable for the effective management and use of organisations enterprise data assets.

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12
Q

Data governance interacts and guides how all other data management functions are performed

A

true

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13
Q

What does data governance have a role in?

A

all business projects in an enterprise

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14
Q

Types of data stewards

A

Executive
Coordinating
Business

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15
Q

Executive data stewards (owners)

A

senior managers serve on the data governance steering committee and DGC

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16
Q

coordinating data stewards

A

leads teams of business data stewards

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17
Q

business data stewards

A

recognised data subject matter experts in organisation

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18
Q

DGC acronym

A

data governance council

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19
Q

Chief data steward (or CDO)

A

chairs the DGSC

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20
Q

Enterprise data steward

A

oversight of a data domain across business functions

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21
Q

Data Owner

A

a business data steward who has approval authority for decisions about data within their domain

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22
Q

Technical data stewards

A

IT professionals operating within one of the knowledge areas

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23
Q

Examples of technical data stewards

A

Data integration specialists
Database Administrators
Business intelligence specialists
data quality analysts
metadata administrators

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24
Q

(executive data steward) data owner breakdown

A

Accountable for the data subject area where they are accountable
- approve and deny access
- ensure data is fit for purpose (check data quality)

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25
Q

RACI

A

responsible
accountable
consulted
informed

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26
Q

Data steward breakdown

A

take responsibility for the quality and use of their organisations data assets.
- develop & maintain definitions
- document business rules
- support business analysts
- determining the need for additional data elements
- SMEs in their data area

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27
Q

example activities of data stewards

A
  • ensure data is managed in accordance with framework
  • defining and agreeing business data quality rules
  • monitoring and enforcing data policies and practises
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28
Q

Data Custodian (Business System owner BSO)

A

Focussed on the container and the system rather than the data; data sources, systems and transfer.

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29
Q

Data Governance levels

A

Strategies (data owner - board and senior management)
Tactics (data stewards - business processes)
Operations (data custodian - information systems)

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30
Q

Ideally the will be x owners per data area

A

one

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31
Q

Three types of governance functions

A
  • legislative
  • judicial
  • executive
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32
Q

Executive data governance function

A

Doing thing RIGHT

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33
Q

Legislative & judicial data governance functions

A

Doing the right thing

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34
Q

Legislative and Judicial groups

A

data governance steering committee
Data governance council
Data Governance office

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35
Q

data governance steering committee

A

highest level data management group - oversight support and funding

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36
Q

Data Stewardship Teams - two types

A

by data subject area across whole organisation
OR
by process area

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37
Q

Data Stewardship Teams

A

collaberate and consult with project teams on data definitions and data management standards. within assigned subject area, led by co-ordingating data steward

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38
Q

Data governance council

A

manage data governance initives

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39
Q

Local data governance committee

A

divisional versions of the DGC

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40
Q

Data governance office (DGO)

A

Ongoing focus on data definitions and data management standards, looks across all the areas

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41
Q

Data governance touch points throughout the project lifecycle (DGO)

A

Initiation -> planning -> execution -> close-out (update meta-data and do lessons learnt)

42
Q

Guiding principles of data governance

A
  • shared responsibility
  • data stewards have responsibilities in all management function
  • every data governance is unique
  • The best data stewards are found not made
  • shared decision making is the hallmark of DG
  • DG occurs at enterprise and local levels
  • no substitute for visionary and active IT leadership
  • centralised organisation for DM professionals is essential
  • define a formal charter for the DGC
  • Data strategy should be driven by the business stratgey
43
Q

Who’s responsibility is it to communicate and promote awareness in an organisation?

A

Everybody in the data management community

44
Q

DGC & Data stewards are _____

A

legislative

45
Q

DMSO (data management services office) is _____

A

executive

46
Q

Organisational models for DG

A

Data Centric
Process Centric
Systems Centric
Contingent (hybrid)

47
Q

Data Centric organisational model

A

Owners, stewards etc by data areas e.g., customer data, employee data, finance data.

48
Q

Process Centric organisational model

A

Data owners own all data created, amended and deleted by the business process for which they are responsible.

49
Q

Disadvantage of process central organisation DG model

A

it can easily go wrong, hard to know where data issues come from

50
Q

Systems Centric (IT) organisational model

A

System Owners (custodians) become the data owner for all data created, amended & deleted by the system for which they are responsible.

51
Q

Contingent/hybrid organisational model

A

A mixture of systems, data and process centric

52
Q

Operating model for DG types

A

Centralised
decentralised
Hybrid
Federated
Self-organising

53
Q

Centralised operating model for DG

A

DGSC reports directly to executive and pushes down everything that needs to be done (easy to manage)

54
Q

Decentralised operating model for DG

A

Each business area has their own stewards, no central group to communicate through (increased level of ownership)

55
Q

Federated operating model for DG

A

give each business area their own stewards, but there is a central group to set priorities etc (advantages of decentralised but have the decision makers)

56
Q

Self-organising operating model for DG (networked)

A

No formal data governance group (yet) so worked together with known connections (may be unaware of other resources)

57
Q

Business change program

A

Data governance

58
Q

Most important thing in data governance is…

A

communication

59
Q

Ethics

A

concerned with how to procure, store, manage, interpret, analyse and dispose of data in ways that are aligned with ethical principles, including community responsibility

60
Q

What are data handling ethics based on

A

Beneficence (do no harm, maximise benefits)
justice (fair and equitable treatment of people)
The respect for persons principle (treat in a way that respects their dignity and autonomy as human)

61
Q

The 5 C’s of data handling ethics

A
  1. consent
  2. clarity
  3. consistency
  4. control
62
Q

Core deliverables

A
  • current practises and gaps
  • ethic data handling strategy
  • communication plan
  • ethics training program
  • ethical corporate statements on data
63
Q

Social Liscense

A

the alignment between stakeholder expectation and the organisation

64
Q

consent

A

obtained explicit permission from an individual for the collection, use or disclosure of personal information

65
Q

Who should chair the DGSC

A

chief data steward or chief data officer

66
Q

Primary characteristics of data steward

A

A business role appointed to take responsibility for the quality and use of their organisation data assets

67
Q

Ways to approach communicating DG awareness

A
  • maintaining an intranet website
  • publishing a regular newsletter
  • promote parcipitation in a DM forum or community
  • creating a series of elevator pitches for the appropriate audience
68
Q

core concepts of ethics of data handling

A

impact on people, potential for misuse and economic value

69
Q

How does the DMBOK define Data Governance?

A

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

70
Q

What is the role of the Data Governance function in the DMBOK?

A

The Data Governance function guides all other data management functions

71
Q

Primary Business Drivers for Data Governance

A

Regulatory Compliance
Increased usage of analytics and data science
Supporting MDM
improve data quality

72
Q

What characteristics does data quality require to achieve its goal

A

Sustainable, embedded, measured.

73
Q

Data governance models

A

centralised
replicated
federated
decentralised

74
Q

Data stewardship

A

Data Stewardship describes accountability and responsibility for data and processes
Data Stewardship ensures effective control and use of data assets
Data Stewardship can be formalised through job titles and descriptions, or it can be a less formal function
Often terms like custodian or trustee are synonyms for those who carry out Data Stewardship functions

75
Q

Common activities for data stewards

A

Managing data quality issues
creating and managing core metadata
documenting rules and standards
executing operational data governance activities.

76
Q

primary business driver for data governance

A

Regulatory Compliance
Increased usage of anlytics and data science
improve data quality
reducing data security and privacy risk
metadata management ??

77
Q

goals and principles of data governance

A
  • sustainable
  • embedded
  • measured
78
Q

Operating models

A

centralised, federated, replicated, decentralised

79
Q

Data Stewardship

A

The formal accountability for business responsibilities, ensuring effective control and use of data assets. Some of these responsibilities are data governance responsibilities. But there are also significant data stewardship responsibilities within each of the other major data management functions

80
Q

Data stewardship is about….

A

business leadership and subject matter expertise being applied to improve data on behalf of the whole enterprise.

81
Q

3 types of data steward

A

executive (serve on data governance council).
co-ordinating (data governance office, between trams)
business (SMEs in business area).

82
Q

Are Chief Data Stewards allowed to chair the Data Governance bodies in lieu of the CDO?

A

yes

83
Q

Governance groups (layered in order)

A

steering committee
governance council
governance team

(also a data governance office in larger firms)

84
Q

DG Council makes…

A

Makes strategic decisions

85
Q

DG steering committe…

A

makes tactical decisions

86
Q

Data stewardship teams make….

A

operational decisions

87
Q

Where in the information management lifecycle does most governance occur

A

the planning stage

88
Q

Data governance in the information management lifecycle

A
  • Set the strategy
  • define the framework
  • prepare for operations
89
Q

During which stage of the data or information lifecycle would you draft your data architecture?

A

specify

90
Q

Readiness assessments used when planning data governance program

A
  • data management maturity
  • capacity to change
  • collaborative readiness
  • business alignment
91
Q

Which body should ensure that data policies are being communicated, monitored, enforced and re-evaluated?

A

Data governance council

92
Q

Data Governance needs touchpoints with other organisational functions to be effective. Which body helps the CDO to facilitate these touchpoints?

A

Data governance office

93
Q

data governance operating model needs to reflect on…

A
  • how decisions are made
  • the existing operating model of the organisation
  • the value of data to the organisation
  • the compliance obligations
94
Q

All business units, regions and data or information types are governed by the same Data Governance function. What operating model does this describe?

A

centralised

95
Q

A large multinational company operates in multiple different markets, each with their own regulation about data privacy. Which data governance operating model would be best for them?

A

federated

96
Q

An activity crucial to planning a Data Governance program and can also be used when managing and sustaining a Data Governance program, according to the DMBOK?

A

Assessments that describe the current state of an organisation’s information management capabilities, maturity, and effectiveness

97
Q

Data Policies

A

Data policies are directives that codify principles and management intent into fundamental rules governing the creation, acquisition, integrity, security, quality, and use of data and information

98
Q

Deliverables of developing a data governance strategy

A

Identify the business drivers, vision, mission, and principles for data governance, including readiness assessment, internal process discovery, and current issues or success criteria

Define the structure and responsibility for data governance activities

A roadmap with timeframes for the roll out of policies and directives, business glossary, architecture, asset valuation, standards and procedures, expected changes to business and technology processes, and deliverables to support auditing activities and regulatory compliance

Describing a target state of sustainable data governance activities

99
Q

Issue management is the process of identifying, quantifying, prioritising, and resolving data governance-related issues. According to the DMBOK, what proportion of data issues should be escalated to the Data Governance Steering Committee for resolution?

A

<5%

100
Q

What Organization Structure should set the overall direction for Data Governance?

A

Data Governance Steering Committee

101
Q

To which of the following initiatives was the establishment of an industry Metadata Standard essential?

A

EDI

CDMP (14 decks)

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