BA First Flashcards

1
Q

Define Business Analytics

A

act of turning data into actions

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2
Q

Define Data

A

carrier of information; facts; too specific to be useful; stored in databases

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3
Q

Define Information

A

data that is AGGREGATED to a level where it makes sense for decision making (reports)

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4
Q

Define Insight

A

information that has been ANALYZED and INTERPRETED

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5
Q

Ad hoc reports

A

how many, how often, where?

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6
Q

What does descriptive analytics ask?

A

What happened?

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7
Q

What does exploratory analytics ask?

A

What is happening now?

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8
Q

What does predictive analytics ask?

A

What will happen in the future?

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9
Q

What does prescriptive analytics ask?

A

What we want to happen in the future?

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10
Q

20-30% of the decisions really need the use of what kind of analytics?

A

Advanced analytics (includes predictive and prescriptive analytics)

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11
Q

70-80% of the decisions really need the use of what kind of analytics?

A

Descriptive and exploratory analytics

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12
Q

What are the 4 business drivers of BA

A
  • Desire to optimize business operations
  • Desire to identify business risks
  • Predict new business opportunities
  • Comply with laws or regulatory requirements
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13
Q

Factors supporting BA

A
  • Statistics/mathmatics
  • Computer processes and storage
  • Business professionals (personnel)
  • Data management technology
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14
Q

3 Building Blocks of BA

A
  • People
  • Processes
  • Tools
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15
Q

BA gives you ___ answer, not ___ answer

A

an, the

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16
Q

3 Vs of big data

A
  • Volume (size) - refers to the vast majority of data generated every second
  • Velocity (speed) - refers to the speed data is generated and moves around
  • Variety (forms) - different types of data collected
17
Q

2 “other” Vs of big data

A
  • Veracity (uncertainty of data) - refers to messiness and trustworthiness of data
  • Value - value and usefulness of data
18
Q

Define Structured big data

A

Transaction data, Data warehouse, Data mart

19
Q

Define Semi-Structured big data

A

Textual data with data formats (computer to computer communication)

20
Q

Define Unstructured big data

A

No structure, random files and formats

21
Q

Quantitative Data is also known as ___ Data

A

Continuous

22
Q

Examples of Quantitative data

A

Sales, income, expenditure, age, GPA, SAT scores

23
Q

Qualitative Data is also known as ___ Data

A

Categorical

24
Q

Examples of Qualitative data

A

Sales region, gender, major, ethnicity, department

25
Q

Response variable, AKA (3)

A
  • Dependent variable
  • Target variable
  • Outcome variable
26
Q

Factor variable, AKA (4)

A
  • Independent variable
  • Explanatory variable
  • Predictor variable
  • Input variable
27
Q

Define Cross-sectional data

A

data collected at the same time or approximately at the same point of time

28
Q

Is Time a variable/factor?

A

NO

29
Q

Define Time Series data

A

Data collected over different time periods –daily, monthly, quarterly, yearly

30
Q

Is Time Independent or Dependent?

A

INdependent

31
Q

Name the two Categorical Data types

A

Nominal, Ordinal (Cat? No!)

32
Q

Name the two Continuous Data types

A

Interval, Ratio

33
Q

Define Nominal

A

Describes data like gender, type of car you drive, ethnicity etc

34
Q

Define Ordinal scale

A

Describes data that has a natural ordering or ranking

35
Q

With ordinal data you cannot state with certainty whether the intervals between each value are equal.

A

With ordinal data you cannot state with certainty whether the intervals between each value are equal.

36
Q

Define Interval scale

A

It is like ordinal except the intervals between each value are equal

37
Q

Define Ratio scale

A

Continuous data that has a natural zero