5.9 - Managment Information Systems Flashcards

1
Q

Define data analytics

A

Analysing raw data to make judgment about the information

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2
Q

What are the 4 types of data analytics

A
  • descriptive analytics
  • diagnostic analytics
    -predictive analytics
  • prescriptive analytics
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3
Q

Define data base

A

A structure set of data

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4
Q

What are the 4 types of data base

A
  • relation
  • non relation
  • hierarchical
  • network
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5
Q

Define cyber security

A

Protection against criminal use of electrical data

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6
Q

Define cyber crime

A

Criminal activities carried our via the internet

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7
Q

Define critical infastructure

A

System and network of assets that re required for operations

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8
Q

What 3 things does critical infastructure include

A
  • artificial neutral netherworks - systems that stimulate human brains
  • data centres - network of servers that store, process and distribute data
  • cloud computing - network of remote servers that manage data via internet
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9
Q

Define virtual reality

A

Stimulation of 3D enviroment

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10
Q

What are the 4 examples of virtual reality

A
  • training and education
  • architecture
  • media and entertainment
  • R&D
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11
Q

Define internet of things

A

Network of devices that can collect and process data

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12
Q

What are 4 examples of the network of things

A
  • home automation
  • healthcare
  • transportation
  • agriculture
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13
Q

Define AI

A

Computer systems that can preform functions kthat are traditionally handled by humans

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14
Q

What are 4 example of AI

A
  • commerce
  • transportation
  • search engines a
  • text processing
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15
Q

Define big data

A

Extremely large sets that are analysed in order to reveal trends and patterns in consumer behaviour

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16
Q

Define loyalty programs

A

Measure taken to encourage customers to make repeat purchases

17
Q

What are the positives and negatives of customer loyalty programs

A

Pos - increased customer retention, low costs, more data available, WOM promotion
Neg - having to deal with big data, competition with other locality programs, reduced profits

18
Q

Define data Taylorism

A

Modern application of Taylor scientific management

19
Q

What are some examples of digital Taylorism

A

Performance related pay, decision of labour, CCTV, clock in clock out

20
Q

What are the positives and negatives of digital Taylorism

A

Pos - easily measured productivity, control, less reliance on human managers, helps of identify areas of improvements, recorded evidence, clear expectations about rewards
Cons - lack of trust, violation of privacy, ethical issues, confidentiality, issues of data leaks

21
Q

Define data mining

A

The process of analysing big data in order to generate new information that assist design making

22
Q

What are the pros and cons of data mining

A

Pros - helps with customer profiling, creating products for needs and wants, cash flow, budgeting, marketing
Cons - violation of privacy, ethical issues, confidentiality issues i of data leaks, time consuming, expensive

23
Q

Define management information systems

A

Structure that serves the purpose of collecting, sorting, processing and analysing data for sake of efficient management