Data Governance - 3 - Data Literacy and Concepts

Question 1

What are the two ways organizational leadership can approach data governance (DG)?

Answer 1

1. Embrace DG as part of the process for data asset monetization, AI, or cost reduction. 2. Set a vision for better-managed data and allow subordinates to work out the details.

Question 2

Why is leadership’s understanding of data concepts crucial in modern organizations?

Answer 2

Data is a pervasive and mandatory aspect of organic growth, requiring leadership to have a solid understanding of key data concepts.

Question 3

What is the definition of data governance (DG) according to the Data Management Body of Knowledge (DMBOK)?

Answer 3

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

Question 4

How does data governance (DG) relate to the concept of managing information assets?

Answer 4

DG ensures the proper management of information assets similar to how accountants manage financial assets through principles, policies, and auditing.

Question 5

What is the significance of viewing data as an asset in organizations?

Answer 5

Data must be managed as an asset, meaning it has value when used correctly, and its mismanagement can lead to negative consequences.

Question 6

What is the metaphor used to describe the cultural fatigue in managing data?

Answer 6

Data whack-a-mole, referring to the overwhelming nature of constantly fixing data issues.

Question 7

Fill in the blank: Data governance is a required business capability if you want to get ______ from your data.

Answer 7

value

Question 8

What are the three interrelated concepts that need to be understood in data management?

Answer 8

1. Data (or information) management 2. Enterprise Information Management (EIM) 3. Data (information) architecture

Question 9

What does the term ‘business capability’ refer to in the context of data governance?

Answer 9

What needs to be done for an organization to fulfill its mission regarding data management.

Question 10

What is a key characteristic of data governance as a program?

Answer 10

DG is not a project with a discreet start or end point; it operates under a ‘going concern’ concept.

Question 11

True or False: Governance implies a predetermined rigor and enforcement of rules.

Answer 11

True

Question 12

What does Enterprise Information Management (EIM) manage?

Answer 12

Plans, policies, principles, frameworks, technologies, organizations, people, and processes to maximize investment in data.

Question 13

List the seven reasons why capability-based planning is effective.

Answer 13

• Top-down, whole-of-organization approach. * Focuses on executing strategy. * Provides a map of overall capabilities. * Links initiatives to capability changes. * Helps prioritize capabilities. * Delays solution definition for better alternatives. * Systematically identifies change initiatives.

Question 14

Fill in the blank: Effective data governance requires a change in the ______ around data.

Answer 14

mindset

Question 15

What is the relationship between data governance (DG) and data management (DM)?

Answer 15

DG and DM are two sides of the same coin; DG ensures DM is happening.

Question 16

What does the term ‘data supply chain’ refer to?

Answer 16

The movement of data through various stages within an organization, similar to a product supply chain.

Question 17

What is the consequence of viewing data governance as merely a new department?

Answer 17

It leads to a misunderstanding that can cause significant problems later.

Question 18

What is the common misconception about data management in organizations?

Answer 18

That it is a localized function rather than an enterprise-level program.

Question 19

What is meant by ‘data as an asset’?

Answer 19

Data can be used as an asset through proper data governance, ensuring its value is realized.

Question 20

Explain the concept of ‘data architecture’.

Answer 20

The structure and organization of data within an enterprise to support data management and governance.

Question 21

What is a major barrier to successful data governance?

Answer 21

The belief that it is simply a new means to fix data issues.

Question 22

True or False: Data governance is solely about fixing data problems.

Answer 22

False

Question 23

What does EIM stand for?

Answer 23

Enterprise Information Management

EIM manages enterprise information assets to support business and improve value.

Question 24

What is the goal of EIM?

Answer 24

To maximize the investment in data and content.

Question 25

Can EIM be deployed by department?

Answer 25

No, EIM requires a unified direction, philosophy, and mind-set.

Question 26

What does IM stand for?

Answer 26

Information Management.

Question 27

What is the primary focus of IM?

Answer 27

The day-to-day management of information as a formal asset.

Question 28

Define data architecture.

Answer 28

A representation of the DM environment, its components, and their interactions.

Question 29

What does the Governance V model illustrate?

Answer 29

The separation of governance and data management responsibilities.

Question 30

What are the two sides of the Governance V?

Answer 30

* Left side: Governance * Right side: Data Management

Question 31

True or False: DG is a function performed by those who manage information.

Answer 31

False.

Question 32

What is the internal definition of DG at ACME?

Answer 32

A program to manage organizational bodies, policies, principles, and quality for accurate data access.

Question 33

What does MDM stand for?

Answer 33

Master Data Management.

Question 34

What is the purpose of MDM?

Answer 34

To create a 'gold copy' of crucial data subjects to ensure consistency.

Question 35

List three components that DG supports in MDM.

Answer 35

* Ensures standards are defined * Aligns MDM efforts with business needs * Addresses data quality and process changes

Question 36

What is data quality?

Answer 36

The degree to which data is accurate, complete, timely, and relevant.

Question 37

How does DG support data quality solutions?

Answer 37

* Ensures data quality standards are defined * Ensures ongoing evaluation of data quality * Addresses organizational issues

Question 38

What does BI stand for?

Answer 38

Business Intelligence.

Question 39

What is the core concept of BI?

Answer 39

Using information to achieve organizational goals.

Question 40

How does DG enhance BI?

Answer 40

* Aligns BI activity with business activity * Ensures data quality for BI * Maintains consistency in data standards

Question 41

What is analytics in the context of data governance?

Answer 41

The application of modern data technologies for data discovery and interpretation.

Question 42

What is the relationship between AI and data governance?

Answer 42

Governance ensures legitimacy of AI models and data quality.

Question 43

What are organizational principles according to DMBOK?

Answer 43

* Fundamental laws or doctrines * Rules or codes of conduct

Question 44

Fill in the blank: DG is a framework of ________ and processes for making decisions.

Answer 44

accountabilities

Question 45

What is the difference between data quality and information quality?

Answer 45

Data quality pertains to data accuracy, while information quality pertains to meeting knowledge worker expectations.

Question 46

What are the two definitions of principles according to the DMBOK?

Answer 46

* A fundamental law, doctrine, premise, or assumption * A rule or code of conduct ## Footnote Principles are statements of philosophy that guide information asset management.

Question 47

What do principles represent in the context of governance?

Answer 47

Core beliefs that form the anchor for all policies and behaviors around information asset management (IAM) ## Footnote Principles are not to be confused with policies or rules.

Question 48

What is GAIP™?

Answer 48

Generally Accepted Information Principles ## Footnote GAIP™ is modeled on Generally Accepted Accounting Principles (GAAP).

Question 49

List the principles included in GAIP™.

Answer 49

* Content as asset * Real value * Going concern * Risk * Due diligence * Quality * Audit * Accountability * Liability

Question 50

What is a policy in the context of data governance?

Answer 50

A statement of a selected course of action and high-level description of desired behavior to achieve a set of goals ## Footnote Policies are enforceable processes that codify principles.

Question 51

True or False: Data Governance (DG) is considered an IT program.

Answer 51

False ## Footnote DG is for the business or organization, not just IT.

Question 52

What approach should be taken for implementing DG?

Answer 52

Iteratively, in a carefully designed deployment ## Footnote DG is not a big-bang endeavor and requires learning how to govern.

Question 53

What are the four stages of learning in DG?

Answer 53

* Rote * Understanding * Application * Correlation

Question 54

What does the Initial stage in the information management maturity model indicate?

Answer 54

The organization is entrepreneurial; individuals have authority over data, leading to chaotic and idiosyncratic information maturity ## Footnote Data quality is far from integrated at this stage.

Question 55

What happens at the Managed stage of information management maturity?

Answer 55

Data and content assets are tracked, lineage of all content is understood and documented ## Footnote Analytical results are used to close process loops.

Question 56

What is the key concept of information management maturity (IMM)?

Answer 56

It represents a broadly understood means to measure the progress and effectiveness of DG ## Footnote If IMM improves, DG is working.

Question 57

What changes does DG implementation require?

Answer 57

Changes in business and technology functions ## Footnote Some changes may not be well received.

Question 58

Why is managing data as an asset crucial?

Answer 58

It ensures that data, information, and content are treated as assets in the true business and accounting sense ## Footnote This helps in avoiding increased risk and cost due to data misuse.

Question 59

What are the four essential elements required for managing data as an asset?

Answer 59

* Standards of use * Accurate financial tracking * Statement of value to the organization * Assignment of accountability and responsibility

Question 60

How does DG relate to data governance and management?

Answer 60

DG is key to managing data assets and is contrasted with data and information management ## Footnote Understanding the relationship helps in keeping terminology straight.

Question 61

What is the impact of organizational culture on DG implementation?

Answer 61

It may require executing all four layers of learning to get through each maturity level ## Footnote Culture can influence how DG is perceived and executed.

Question 62

Fill in the blank: DG is not done with an expectation of _______.

Answer 62

business as usual

Question 63

What is the role of discipline in any DG effort?

Answer 63

It is essential regardless of the approach taken ## Footnote Discipline ensures consistency and effectiveness in governance.