Data Governance - 12 - Final Items and Summary

Question 1

What is the main purpose of implementing discipline in data governance?

Answer 1

It is essential for effective data, information, or content management

Implementing discipline ensures that organizations manage data effectively

Question 2

What are common deliverables requested in data governance projects?

Answer 2

Comprehensive data strategy, recommendations on ETL, MDM, BI, and data governance

ROI is often expected as part of these deliverables

Question 3

What does DG stand for?

Answer 3

Data Governance

Question 4

What is a typical problem encountered when starting a data governance project?

Answer 4

Lack of business alignment and understanding of data governance’s importance

This often leads to high-risk scenarios

Question 5

What is the relationship of DG to information management?

Answer 5

DG is control and oversight of data management processes

DG sets rules while data management carries out those rules

Question 6

True or False: Data governance is considered an IT program.

Answer 6

False

DG is a business program that provides roles, rules, and controls for data assets

Question 7

What should data governance support?

Answer 7

Business needs and priorities

Question 8

What is information asset management (IAM)?

Answer 8

Applying serious rigor to manage information as an asset

It signifies the belief in data governance

Question 9

List two reasons why DG programs get derailed.

Answer 9

• Lack of data literacy
• Poor training and communications

Question 10

What is the role of organizational change management (OCM) in DG?

Answer 10

To manage top-to-bottom behavior changes required for effective DG

Question 11

What are the critical success factors for data governance?

Answer 11

• DG needs to be integrated into the organization’s fabric
• Strong sponsorship is necessary
• Continuous education on data as an asset

Question 12

Fill in the blank: The lack of ___________ and will contributes to data governance challenges.

Answer 12

data literacy

Question 13

What does data monetization refer to?

Answer 13

The process of generating value from data assets

It is a key area where data governance plays a central role

Question 14

What should be avoided when implementing a data governance program?

Answer 14

Classifying data governance as merely an IT responsibility

Question 15

What does the ‘V’ concept refer to in data governance?

Answer 15

It represents the relationship between governance and management of data

DG oversees while data management executes

Question 16

What is the perception of data governance in many organizations?

Answer 16

It is often seen as overwhelming work or cost

Question 17

What is the outcome of successful data governance?

Answer 17

Improved business capabilities and data quality

Question 18

List three warning signs of deployment difficulties in DG.

Answer 18

• Quiet meetings
• Philosophical soundings from unexpected experts
• Sudden flood of concerns and questions

Question 19

What should be the focus when defining data governance capabilities?

Answer 19

Understanding the specific needs of the business

Question 20

Fill in the blank: The goals of data governance should align with __________ needs.

Answer 20

business

Question 21

True or False: Data governance is a one-time project.

Answer 21

False

It is an ongoing program that requires continuous effort

Question 22

What is the significance of having a strong sponsor in data governance?

Answer 22

To provide support and resources necessary for success

Question 23

What is the importance of training and communications in DG?

Answer 23

They are core components for successful change and adoption

Question 24

What is the recommended approach for technology in data governance?

Answer 24

Establish an operating model before purchasing technology

Question 25

Fill in the blank: Data governance should be viewed as a __________ program.

Answer 25

business

Question 26

What does the term 'stewards' refer to in the context of data governance?

Answer 26

Individuals responsible for managing data, though the definition can vary ## Footnote Lack of a standard definition can lead to confusion

Question 27

What are the consequences of ignoring data quality in governance efforts?

Answer 27

Failure of AI and analytics efforts, increased internal risk

Question 28

What is the role of the engagement model in DG?

Answer 28

It describes workflows and communications necessary for DG operations

Question 29

What is the ultimate goal of a data governance program?

Answer 29

Achieve enterprise-level adoption

Question 30

What does ROI imply in the context of project thinking?

Answer 30

ROI leans toward and implies project thinking.

Question 31

What are the three critical success factors for Data Governance (DG)?

Answer 31

1. DG needs to be set up to disappear into the organization. 2. Management of organizational behavior changes is crucial. 3. DG must be tied to an initiative.

Question 32

What does OCM stand for in relation to DG?

Answer 32

OCM stands for Organizational Change Management.

Question 33

What is the concept of DG 2.0?

Answer 33

DG 2.0 refers to the maturity and addition of required capabilities in data governance.

Question 34

True or False: The author believes there is such a thing as DG 2.0.

Answer 34

False.

Question 35

What is data debt?

Answer 35

Data debt is a metric for DG that reflects the costs of making decisions without considering data implications.

Question 36

How does data debt affect organizations?

Answer 36

It incurs future costs through inconsistencies, errors, and redundancy.

Question 37

What approach did a major financial institution take regarding data debt?

Answer 37

They used data debt to strengthen DG oversight in application development and enforced a data glossary.

Question 38

What is infonomics?

Answer 38

Infonomics is the concept of treating data as a true asset in an accounting sense.

Question 39

What are the three types of assets that need separate management?

Answer 39

Technology assets, people assets, data assets.

Question 40

What are the historical drivers of economic activity?

Answer 40

Land, Labor, and Capital.

Question 41

What new component is being added to the economic model?

Answer 41

Data.

Question 42

What ethical questions arise with data governance?

Answer 42

Is data personal property? What are the ethics around data? How do we ensure privacy?

Question 43

What is the key to success with AI and analytics according to the text?

Answer 43

The key is managing the people first, then the data.

Question 44

Fill in the blank: The first change organizations must make for data governance is to get the organization _______.

Answer 44

data literate.

Question 45

Why is culture important in data governance?

Answer 45

Culture is key to managing data and achieving organizational success.

Question 46

What must organizations do to ensure successful data governance?

Answer 46

Adopt principles and policies addressing data usage, privacy, and ethics.

Question 47

What potential harm can arise from poor data quality in AI?

Answer 47

AI can hurt people if there is no data quality.

Question 48

What is the risk associated with advanced analytics without proper oversight?

Answer 48

It can lead to biased models.

Question 49

What should DG not be reduced to in organizational discussions?

Answer 49

Just a bullet point on a slide for leadership retreats.

Question 50

What must organizations wean themselves off of for better data governance?

Answer 50

Inappropriate use of spreadsheets and Access databases.