Data protection policies, risks and ethical issues Flashcards

1
Q

What is a data protection policy?

A
  • security policy
  • dedicatedto standardising the use, monitoring and management of data
  • protect and secure all data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Difference between a data protection policy and a privacy policy?

A

A privacy policy is a document that explains to customers how the organisation collects and processes their data. It is made available to the public by organisations required to comply with privacy regulations.

A data protection policy is an internal document created for the purpose of establishing data protection policies within the organisation. It is made available to company employees, as well as third parties, responsible for handling or processing sensitive data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Data Quality:

A

The measure of how well suited a data set is to serve a specific purpose.
1. accuracy
2. completeness
3. integrity
4. format
5. consistency
6. duplication

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Benefits of good data quality:

A

More Informed Decision-Making
Better Audience Targeting
More Effective Content and Marketing Campaigns
Improved Relationships With Customers
Easier Implementation of Data
Competitive Advantage
Increased Profitability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Data quality vs data integrity

A

data quality oversight is just one part of data integrity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Data quality assurance vs data quality control

A

Data quality assurance is the process of identifying and eliminating anomalies by
means of data profiling and cleansing. Data quality control is performed both before and after quality assurance.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Why is data quality important to an organisation?

A

Organisations are using data to inform their decisions.
regarding marketing, product development
Leads to better and faster insights that drive business intelligence efforts and big data analytics.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Data quality management

A

Data quality management is an essential process in making sense of your data, which can ultimately help your bottom line. The diagram below, provides the steps in the data quality improvement process.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Emerging data quality challenges:

A

Data quality problems has expanded as big data systems and cloud computing became more prominent.

The growing use of artificial intelligence (AI) and machine learning applications further complicates the data quality process in organisations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Interoperability

A

Interoperability refers to the basic ability of different computerised products or systems to readily connect and exchange information with one another, in either implementation or access, without restriction.

There are two types of data interoperability - syntactic interoperability and semantic interoperability.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Benefits of interoperability:

A

The benefits of interoperability include increased productivity, reduced costs, and reduced errors. System and software interoperability capabilities are essential in such fields as:
Healthcare: hospitals and labs are increasingly adopting new technologies and devices that are driven by sophisticated software, which must integrate at the point of care and with electronic systems, such as electronic medical records.

Military: Force Interoperability refers to the ability of the forces of two or more nations to operate together coherently, effectively, and efficiently to execute Allied tactical, operational, and strategic objectives.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Advantages of interoperability for accountants:

A
  1. increased productivity
  2. consistency
  3. valuable data collection
  4. enhanced security
  5. improved visibility with real-time data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

IP rights in data management:

A

Intellectual property is the broad umbrella term that may include copyright, patents, or trademarks, which are specific (and restrictive) forms of intellectual property.

Copyrightis a specific form of intellectual property that restricts use by granting exclusive legal rights to the copyright holder.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Legal and ethical implication of information systems:

A

Information systems have had an impact far beyond the world of business.

New technologies create new situations that we have never dealt with before.

This section will discuss the impact of information systems on how we behave (ethics).

The explosive growth in the use of social media over the past decade has made it one of the most popular Internet services in the world, providing new avenues to “see and be seen”.

Social media sites can be described as online services that allow users to create profiles which are “public, semi-public” or both.

Today social media has proven to be one of the most, if not the most effective medium for the dissemination of information to various audiences.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Ethics and social media

A

Ethics can be loosely defined as “the right thing to do” or it can be described as the moral philosophy of an individual or group and usually reflects what the individual or group views as good or bad.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Policies vs processes

A

Every organisation, regardless of industry, needs well-written policies and procedures to operate effectively.

To keep your organisation as protected as possible, policies and procedures should continually evolve.

17
Q

Implementing a data protection policy:

A
  • add it to staff handbook
  • provide a summarised version
  • offer training and supervision
  • inform relevant third parties
  • Take inventory of sensitive data
18
Q

What should the inventory include?

A
  • HR system data (i.e., employee records, payroll, health, and
    retirement benefits)
    ▪ Unstructured data residing in company equipment, remote servers,
    and email accounts
    ▪ Persons with view or edit access to data
    ▪ The volume of data and aging
19
Q

Risks of data transfer:

A

File transfers expose data to high risks due to:
Personal data stored in files uploaded using the file transfer protocol (FTP) are often left unencrypted and do not get deleted. Even password protected FTP servers pose security issues from brute force attacks.
* The use of the FTP anonymous mode and out-of-date security patches provide easy access to cybercriminals.
* Desktop users that circumvent IT by sending personal data over unsecured connections—such as email and cloud-based file-sharing software services like Google Drive.
Lack of centralised control over permissions that expose user credentials, which hackers can exploit to gain control over protected data.
* Lack of centralised and tamper-evident audit logs that create risks of unauthorised or failed transfers going unnoticed.

20
Q

GDPR

A

General Data Protection Regulations

21
Q

Types of IP:

A

Copyrights
Patents
Trademarks

22
Q

Good things about data policies:

A

Promotes consistency
increase compliance
improve internal processes
navigate incidences and crises