Information Systems (5) Flashcards

1
Q

What have critics argued about big data?

A

They may not necessarily represent the entire data population as a whole

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2
Q

Risks with quality of data in big data?

A

Increasing the amount of data doesn’t guarantee better decision making. Data must be relevant and reliable

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3
Q

Risks with veracity in big data?

A

Requires organisations to maintain strong governance on data quality

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4
Q

Risks with cost in big data?

A

Expensive to establish hardware and analytical software needed and comply with data protection laws

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5
Q

Risks with skills in big data?

A

Scale and complexity may require a data scientist’s level of analytical skills for data mining, deriving algorithms and predictive analysis

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6
Q

Risks with loss and theft of data in big data?

A

Companies could face legal action if data is stolen

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7
Q

What is data (DIKW)?

A

Refers to all types of facts, measurements, records. Meaningless without further processing. Is algortithmic

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8
Q

Data relates to?

A

The past

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9
Q

What is information (DIKW)?

A

Refers to connection of data. May involve aggregation. Understandable but not necessarily useful. Often answers who/what/where/when

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10
Q

Information relates to?

A

The past

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11
Q

What is knowledge (DIKW)?

A

How pieces are connected. Provides competitive advantage when sued to apply objectives. Often answers how

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12
Q

Knowledge relates to?

A

Past

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13
Q

What is wisdom (DIKW)?

A

Application of knowledge. Is non-programmable. Often answers “why”

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14
Q

Wisdom relates to?

A

Why

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