CH19: Data and information Flashcards

1
Q

What are pros and cons of Primary Data?

i.e. data produced by the business itself

A

Pros: collected for specific purpose
Cons: reliability depends on staff skills and Expensive to produce

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2
Q

What are pros and cons of Secondary Data?

i.e. data obtained by the business from external sources

A

Pros: cost-effective/cheaper than producing primary data
Cons: information is too generic

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3
Q

What are the characteristics of good data/info?

A

TRRACC

Targeted - info is delivered to the right person at the right time
Reliable
Relevant
Clear - info is easily read and well-presented
Cost-efficient

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4
Q

What are INTERNAL sources of data?

A

Financial info - i.e. info used in accounting systems; cash books, sales ledgers

Management info - gathered from internal sources e.g. production reports

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5
Q

What are EXTERNAL sources of data?

*limitations of external sources of data: abundance of data so validity is dependent on the person doing the research hence reliability can be limited/inaccurate

A

Business contacts - info from customers/suppliers

Trade associations - info obtained through trade journals e.g regarding tech changes, accounting changes, legal info

News media- info obtained through media sources e.g. economic forecast, social trends

Government - info obtained from gov sources eg. current GDP, unemployment rate

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6
Q

What is Big data?

A

info which is too large to analyse or interpret using standard reporting facilities

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7
Q

What is Data and Information?

A

Data: initial input of raw facts and figures

Info: data which has been processed and converted into meaningful output

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8
Q

What are uses and limitations of big data?

A

Use: Allows info to be drawn from large amount of different datas vs. separate sets

Use: Big data has potential for almost universal application

Limitation: cost of storage
Limitation: factor in privacy and protection

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9
Q

What are Gartner’s 3 Vs which outline the challenges around using big data?

A

1) Volume- large amount of data being processed makes it harder to extract key info
2) Velocity - increasing speed of data in/out means it can quickly change. Analysis needs to be quick to spot and react to latest change.
3) Variety - the range of types/sources of data makes analysis difficult, e.g. data on different IT systems in an organisation cannot be easily brought together to analyse linkages

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10
Q

What is Gartner’s formal definition of big data?

A

High volume, high velocity, and/or high variety information that requires new forms of processing which enable advanced decision making, insight discovery, and process optimisation

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11
Q

What are the 7 stages to big data process?

A

1) Capture - collect data
2) Storage - where? IT needs?
3) Curation - organising the data
4) Analyse - examine data to produce useful info
5) Visualisation - presenting the data in a clear simple way
6) Search - allow users to search for the relevant info
7) Data sharing and Transfer - sending the relevant info to key people

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12
Q

How does using Big data provide a competitive advantage to businesses?

A

4 ways:

1) Produce improved PRODCUTS
2) Ensure STOCK levels are correct
3) Better TARGETING of MARKETING CAMPAIGNS
4) Effective PRICING strategy

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13
Q

What are the 3 types of bar charts?

A

Single
Multiple
Component (or percentage component bar - y-axis values presented as a % providing better insight as to the composition)

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14
Q

What are some cons to pie charts?

A

Does not show trends

info will need further analysis to be useful

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15
Q

What are scatter graphs useful for?

A

showing a connection/correlation between two pieces of data (by adding a line of best fit)

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16
Q

What are the features of a histogram?

A
Histogram - the HEIGHT of each bar is proportional to the FREQUENCY (i.e. the variable on the y-axis). 
the WIDTH of each bar is proportional to the class interval (i.e. the variable on the x-axis)
17
Q

What does an Ogive graph show/when is it useful?

A

Show: Ogive graphs plot the CUMULATIVE FREQUENCY of data on the y-axis and the interval group size on the x-
axis. They record the RUNNING TOTAL of data sets.

Use: analysis a certain factor that falls below a certain amount e.g. how much sales fall under a certain amount? What number of people are shorter than a certain height?