11 - Data risk management and ethics Flashcards

1
Q

What is the primary focus of data risk management?

A

Using data to stop bad actions and protect profit

This can lead to a safer and better business.

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2
Q

List the five pillars of managing risk and ethical compliance.

A
  • Data privacy
  • Data security
  • Data ethics
  • Data compliance
  • Data fraud prevention
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3
Q

Define data privacy.

A

Determines how data is used internally, shared, collected, or stored, and the regulatory restrictions in which the business operates.

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4
Q

Define data security.

A

The practice of protecting data from unauthorized access, corruption, or theft throughout its entire life cycle.

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5
Q

What is data ethics?

A

The responsible use of data, doing the right thing for people and society even when no one is looking or checking.

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6
Q

What does data compliance ensure?

A

Data is organized and managed to meet enterprise business rules and legal and governmental regulations.

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7
Q

True or False: Data fraud is the deliberate fabrication or falsification of data for financial gain.

A

True

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8
Q

What is the motive in the context of data misuse?

A

The reason for committing a transgression.

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9
Q

What does the term ‘means’ refer to in data fraud?

A

The tools or methods to commit a crime.

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10
Q

What is the opportunity in relation to data security breaches?

A

The occasion for unauthorized access or misuse of data.

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11
Q

Fill in the blank: Data _______ involves ensuring data is legally collected and stored.

A

privacy

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12
Q

How can data ethics be promoted in business practices?

A

By ensuring transparency in the use of data in any business activity.

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13
Q

What problem did Jérôme Kerviel face regarding compliance at Société Générale?

A

He exploited internal compliance systems to commit unauthorized trades.

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14
Q

What is the significance of a ‘single source of truth’ in data management?

A

It helps automate processes and makes it harder for individuals to cheat.

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15
Q

What role does data play in stopping unethical behavior in organizations?

A

Data can limit the space in which employees can behave unethically.

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16
Q

What are some automated methods to detect data fraud?

A
  • Anomalous invoicing patterns
  • Spikes in activity
  • Figures that won’t reconcile
17
Q

Describe the outcome of the case study involving investment research at an investment bank.

A

It led to the creation of RIXML, improving transparency in stock recommendations.

18
Q

What is one benefit of working with regulators in data management?

A

It creates a positive environment and mutual gain in addressing ethics and fraud problems.

19
Q

What is a common barrier to effective communication between businesses and regulators?

A

Different cultures and a lack of understanding of data management.

20
Q

Fill in the blank: Data _______ is crucial for identifying and mitigating fraud opportunities.

21
Q

What can improve data quality and help reduce fraud in business?

A

Removing duplicates and ensuring accurate data entry.

22
Q

True or False: Data transformation can lead to increased motivation for data misuse.

23
Q

What should be built into data projects from the start?

A

Fundamentals of data privacy and security.

24
Q

What is the importance of data protection?

A

Data is valuable and needs to be protected from misuse.

25
Q

When should data protection be implemented?

A

From the time the data is captured, not added as an afterthought.

26
Q

What must be included in project proposals regarding data?

A

Methods of data protection, security, ethics, and fraud protection.

27
Q

What is expected of ethical behavior in data management?

A

Ethical behavior is expected but does not always happen.

28
Q

How can data help protect organizations?

A

By removing conflicts of interest or subjective decision-making.

29
Q

What is key to compliance regarding employee behavior?

A

Visibility of employee behavior.

30
Q

What does monitoring employee behavior involve?

A

Not just sounding an alarm when rules are breached, but also monitoring patterns of behavior.

31
Q

What is the relationship between data sharing and regulators?

A

Limited data sharing can achieve results and boost trust between employers and regulators.

32
Q

True or False: Sharing ideas about data analysis can create suspicion.

33
Q

Fill in the blank: Ethical behavior is expected but, for many reasons, does not always _______.

34
Q

What can data analysis during investigations foster?

A

Collaboration and productivity.

35
Q

What are the benefits of breaking down barriers in data sharing?

A

Creates more understanding during serious investigations.

36
Q

What is a key factor in achieving compliance?

A

Monitoring patterns of employee behavior.

37
Q

What does the visibility of employee behavior help with?

A

Compliance.

38
Q

What should all stakeholders agree to in project proposals?

A

Data protection, security, ethics, and fraud protection methods.

39
Q

What does the term ‘limited data sharing’ refer to?

A

A useful way to achieve results and boost trust between employers and regulators.