BA First Flashcards

(37 cards)

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

22
Q

Examples of Quantitative data

A

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

23
Q

Qualitative Data is also known as ___ Data

24
Q

Examples of Qualitative data

A

Sales region, gender, major, ethnicity, department

25
Response variable, AKA (3)
- Dependent variable - Target variable - Outcome variable
26
Factor variable, AKA (4)
- Independent variable - Explanatory variable - Predictor variable - Input variable
27
Define Cross-sectional data
data collected at the same time or approximately at the same point of time
28
Is Time a variable/factor?
NO
29
Define Time Series data
Data collected over different time periods –daily, monthly, quarterly, yearly
30
Is Time Independent or Dependent?
INdependent
31
Name the two Categorical Data types
Nominal, Ordinal (Cat? No!)
32
Name the two Continuous Data types
Interval, Ratio
33
Define Nominal
Describes data like gender, type of car you drive, ethnicity etc
34
Define Ordinal scale
Describes data that has a natural ordering or ranking
35
With ordinal data you cannot state with certainty whether the intervals between each value are equal.
With ordinal data you cannot state with certainty whether the intervals between each value are equal.
36
Define Interval scale
It is like ordinal except the intervals between each value are equal
37
Define Ratio scale
Continuous data that has a natural zero