Information Systems (4) Flashcards

1
Q

What is predictive analysis?

A

A branch of data analytics that uses a variety of statistical techniques to analyse data and make predictions

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2
Q

What is data mining?

A

Involves use of data mining software to look for hidden patterns and relationships in large pools of data

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3
Q

What is an algorithm?

A

A set of instructions or rules used to solve a problem

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4
Q

What is a machine learning?

A

A subset of AI where a system learns automatically how to predict outcomes based on data

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5
Q

What features does ML have to aid business predictions?

A

Data capture
Storage and analytical capabilities

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6
Q

Benefits of big data analytics?

A

Better understanding of customer behaviour

Targeted marketing messages

Decision-making

New products and services

Performance measurement

Costing

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7
Q

What is meant by better understanding of customer behaviour?

A

identifying what customers are saying on social media about an organisation’s products

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8
Q

What is meant by targeted marketing messages?

A

Facilitate targeted promotions and advertising

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9
Q

What is meant by decision-making?

A

Trends identified by retailer in-store and online sales, can be used to manage inventories

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10
Q

What is meant by new products and services?

A

Big data can provide new business opportunities in their own right

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11
Q

What is meant by performance measurement?

A

Big data can provide more detailed and up-to-date information for performance measurement

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12
Q

What is meant by costing?

A

Big data can be used to provide insights into costs. How trends and forecasts can help with costing

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13
Q

Trait of a data-enabled finance professional (fundamental)

A

Understands the fundamental drivers and metrics of the business

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14
Q

Trait of a data-enabled finance professional (customers care)

A

Has a clear sense of what customers care about, and how to track this

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15
Q

Trait of a data-enabled finance professional (unconvential)

A

Ebrances new, unconvential sources of data

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16
Q

Trait of a data-enabled finance professional (uncertainty)

A

Comfortable with uncertainty

17
Q

Trait of a data-enabled finance professional (present data)

A

Looks for new visual ways to present data with impact