Data Governance - 1 - Executive Overview Flashcards

1
Q

What does it mean for an organization to be ‘data driven’?

A

To manage data as an asset.

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2
Q

Who is the primary audience for the concepts discussed in this chapter?

A

An organization’s top leadership.

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3
Q

What are some consequences of poor data management?

A

Fraud, security breaches, loss of customers, inaccurate inventory.

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4
Q

What is the estimated cost of errors and lost opportunities due to poor data management?

A

$US trillions.

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5
Q

What does data governance (DG) oversee?

A

The operation and evolution of essential capabilities to manage data assets.

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6
Q

What are some risks associated with mistreating data?

A

Privacy breaches, errors, reputation damage.

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7
Q

Fill in the blank: Organizations need to be as rigorous with data as they are with _______.

A

inventory, suppliers, employees, or finances.

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8
Q

What is often the usual resourcing of a typical initial data governance effort?

A

Under five full-time equivalents (FTEs).

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9
Q

True or False: Data governance is a new and unknown area for organizations.

A

False.

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10
Q

What do organizations that succeed with data governance show?

A

Measurable business improvement.

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11
Q

What is a common misconception among executives regarding data controls?

A

That basic data controls and oversight are in place.

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12
Q

What is the role of the Chief Data Officer?

A

To ensure strong alignment to strategy, leadership, and sponsorship in data governance.

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13
Q

What is a key point regarding executive engagement in data governance?

A

Executives must demonstrate engagement for the program to succeed.

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14
Q

What does data governance provide for data assets?

A

Guardrails for using and taking care of the data assets.

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15
Q

Fill in the blank: Data governance is similar to corporate governance in that it ensures _______.

A

policies are followed.

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16
Q

What is a significant challenge organizations face regarding data management?

A

Departments managing data in their own unique ways.

17
Q

What is the relationship between data governance and organizational strategy?

A

Strong alignment is necessary for success.

18
Q

What does the author compare data governance to in terms of organizational capability?

A

Lean, Six Sigma, BPR.

19
Q

What does the author suggest about the cost of implementing data governance?

A

DG does not mean an increase in overhead.

20
Q

What does DG ensure regarding data quality?

A

It sets parameters for consistency and acts as quality assurance.

21
Q

True or False: Data governance should be treated as an inconvenience.

22
Q

What is the author’s call to action for executives?

A

Engage in a movement toward new business capabilities regarding data.

23
Q

What are the consequences of bad data driving bad AI models?

A

Bad actions and potential harm to individuals or society.

24
Q

What is the fundamental shift in how organizations view data, according to the author?

A

Data governance is now a required capability.

25
Q

Fill in the blank: DG is the true indicator of a shift in how organizations view and _______.

A

manage data.

26
Q

What does DG stand for?

A

Data Governance

DG refers to the framework for managing data assets in organizations.

27
Q

How is DG viewed in relation to Lean or Six Sigma?

A

As significant as Lean or Six Sigma

DG represents new capabilities required for modern times.

28
Q

What is the primary goal of DG?

A

To set parameters for consistency

DG is seen as the quality assurance aspect of data management.

29
Q

According to Deming, what is the difference between quality assurance and quality control?

A

Quality assurance is ‘doing the right things’, while quality control is ‘doing things right’

This highlights the philosophical distinction in managing quality.

30
Q

Is implementing DG associated with increased overhead?

A

No, DG does not mean an increase in overhead

Properly implemented DG should not require additional funding for manpower or capital.

31
Q

What should be the outcome of perfect DG deployment?

A

Zero increase in costs with no separate DG area

This indicates that DG can be integrated seamlessly into existing processes.

32
Q

What does DG aim to modify in organizations?

A

People’s behaviors and business processes

DG encourages clearer thinking about data management.

33
Q

What challenges do organizations face regarding DG?

A

Short attention spans and resistance to new initiatives

Organizations often abandon new strategies if they seem difficult.

34
Q

What mindset is crucial for the success of DG?

A

The mindset of leadership

Leadership plays a key role in fostering a culture that embraces DG.

35
Q

How does DG compare to other initiatives like HR programs or Six Sigma?

A

DG receives less attention despite its significance

Organizations often prioritize other initiatives over DG.

36
Q

What is the purpose of Chapters 2–6 in the book?

A

To orient management and newcomers to DG

These chapters aim to increase awareness and understanding of DG.

37
Q

What can additional awareness of DG help organizations achieve?

A

Monetize data assets correctly, with minimal risk, in an ethical fashion

This emphasizes the importance of ethical data governance.