6.4.1 Factors that determine how data is gathered, entered and maintained

Question 1

State:

The 6 Vs

The Six Vs

Answer 1

• Volume
• Variety
• Velocity
• Variability
• Value
• Veracity

Question 2

Explain:

Volume

The Six Vs

Answer 2

Considering the amount of data and if there is a capability to store this volume

Question 3

Explain:

Variety

The Six Vs

Answer 3

Consider where the data has come from and in what form; is it structured or unstructured?

Question 4

Explain:

Velocity

The Six Vs

Answer 4

Speed at which the data is being generated and gathered quickly

Question 5

Explain:

Variability

The Six Vs

Answer 5

Ensuring that changes in data (likely from different sources) is expected and not unreasonable.

It can ruin comparison between old and new data if it has changed considerably

Question 6

Explain:

Value

The Six Vs

Answer 6

How useful is the data once processed and analysed; did it meet the predefined goal of analysis?

Question 7

Explain:

Veracity

The Six Vs

Answer 7

How accurate and if the data is verifiable leading to a corresponding level of confidence in it’s reliability

Question 8

Explain:

The meaning of reliable data

Data Assurance

Answer 8

How complete and accurate data is

Question 9

State:

What data must be for it be gathered, processed and analysed

Data Assurance

Answer 9

• Highly reliable
• Of good quality

Question 10

State:

2 things that can be done to increase the quality of data

Data Assurance

Answer 10

• Verification
• Validation

Question 11

State:

Data Redundancy

Data Assurance

Answer 11

When the same piece of data is stored two or more times on a digital system

Question 12

Fill The Blank:

Data redundancy can be linked to data ………………… where a piece of data is stored twice on a system in two different ……………

Data Assurance

Answer 12

Inconsistency, Formats

Question 13

Explain:

What could happen if redundant data is processed and analysed

Data Assurance

Answer 13

Creation of unreliable and meaningless information that leads to uninformed and incorrect decisions from the data

Question 14

Explain:

One time data redudancy can be useful to an organisation

Data Assurance

Answer 14

Keeping a backup copy of the data

Question 15

State:

One example of data redundancy

Hint: Locations

Data Assurance

Answer 15

Where data is stord in two locations and is updated in one location but not the other - this could mean each piece of data could be treated as unique

Question 16

State:

How to reduce the risk of data redundancy

Data Assurance

Answer 16

Comprehensive data modelling

Question 17

State:

2 ways data can be gathered

Qualitative data and quantitative data

Answer 17

• Surveys
• Questionnaires

Question 18

Fill The Blank:

Qualitative and Quantitative data may be gathered as customer ……………….

Qualitative data and quantitative data

Answer 18

Feedback

Question 19

Define:

Research Population

Research Population

Answer 19

Number of people required to complete the research

Question 20

Fill The Blank:

The size of the research population will depend on defined …………………. needed from the results of the research

Research Population

Answer 20

Requirements

Question 21

Explain:

How a research population being skewed can affect gathered data

Research Population

Answer 21

Results of the research may not provide reliable or high quality data

Question 22

State:

4 of the 8 areas to consider with ethics and data and it’s manipulation

Legislation and regulatory compliance

Answer 22

• Personal data
• Equality and discrimination
• Sharing and reuse of data
• Copyright and intellectual property
• Freedom of information
• Statistics
• Information governance
• Sector specific legislation

Question 23

Fill The Blank:

Data should be …………………, entered and maintained …………………., with accountability and ………………..

Legislation and regulatory compliance

Answer 23

Gathered, Transparently, Fairness

Question 24

Fill The Blank:

Data should be gathered, entered and maintained with no ………. or pre-…………….. perceptions

Legislation and regulatory compliance

Answer 24

Bias, Conceived

Question 25

State:

What 2 acts should be considered with data and the legal and ethical issues of it

Legislation and regulatory compliance

Answer 25

• DPA
• Equality act

Question 26

State:

3 main factors affecting how an organisation collects and analyses data

Organisational factors

Answer 26

• Time
• Skills
• Cost

Question 27

Explain:

Briefly, 2 ways data collection and analysis can cost a business money

Organisational factors

Answer 27

2 of:
* Employment costs from the time taken
* Entering data onto a system
* Completing maintenance tasks
* Contracting third parties to do tasks

Question 28

Explain:

Briefly, 2 ways data can cost an organisation time

Organisational factors

Answer 28

• Gathering of data
• Input/data entry of data
• Maintenance - staff costs

Question 29

Fill The Blank:

Data gathering can require improvements in skills by ……………….. skills or updating ………………… relating to legislative requirements

Organisational factors

Answer 29

Updating, Knowledge