AFM 112 - Chp. 2 Flashcards

1
Q

Why are business decisions relying more on data analytics

A

the economic environment is getting more challenging due to emerging tech + globalization. using data is more reliable then using their gut to make informed decisions.

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2
Q

What’s another term to say business/data analytics

A

business intelligence

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3
Q

Who coined the term Business intelligence and when

A

coined by Richard Miller Deven’s book “cyclopedia of Commercial + Business anecdotes” in 1865.

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4
Q

How is location aware devices used as a data collector?

A

these devices can detect their own position + orientation. this allows them to collect + transmit data about their location/movement/activity to other systems/apps.

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5
Q

Why do data analysts use location aware devices to gather data?

A

to gain insight into various aspects of human behaviour - mobility patterns, social interactions, health status, or environmental preferences.

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6
Q

What collected data can location aware devices reveal? in a business setting

A

data collected form your cell phone can be used real-time to reveal the # of people visiting a coffeehouse/store

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7
Q

Describe a situation where data collected from location aware devices for a coffeeshop can assist an investor to make an informed decision

A

investor can use the traffic data to evaluate whether the revenues reported by the current owner of the coffeeshop area reasonable.

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8
Q

define text analysis

A

analysis we do based on text

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9
Q

what type of analysis is text analysis

A

sentiment analysis

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10
Q

why is sentiment analysis important? please relate to a business setting.

A

informs the firm of their consumers opinions on their product. revenue can be relying on the consumers sentiment. which effects their investors into selling or keeping their stock based on revenue/profit.

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11
Q

please describe a situation of text analysis

A

text analysis on the adoption of blockchain by companies

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12
Q

Define Point of sales system

A

a system that captures all sales transactions generated by a company + organizes the data into database files.

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13
Q

please describe how the owner of a restaurant can use the sales receipts

A
  1. track revenue and expenses of the business
  2. analyze customer preferences + satisfaction
  3. identify best/worst selling items
  4. adjust menu prices + promotions accordingly
  5. manage inventory + ordering of supplies
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14
Q

define a variable in data analysis

A

contains information related toa specific element/feature.

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15
Q

define the value of the variable/data point

A

specific entry corresponding to a point on the data set

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16
Q

define observations/records in data analytics

A

(row in a spreadsheet) contains the complete set of values that are needed to describe a transaction

17
Q

define a itemized sales transactions

A

an observation is a POS database

18
Q

define a quantitative/numeric variable

A

a variable that takes numeric values

19
Q

define a qualitative/catergorical variable

A

a variable that takes values associated with different classes

20
Q

define a binary variable

A

a qualitative/categorical variable that takes only 2 values.

21
Q

how do we typically measure binary variables

A

using values of 1 or 0

22
Q

define nominal (categorical) variable

A

a qualitative variable that takes more than 2 values.

23
Q

Define a ordinal variable

A

type of categorical variable that has a meaning order/rank among its possible values.

24
Q

what can ordinal variables describe?

A

can be used to describe an individual’s/group’s relative position/preference

25
Q

Define Dates as a variable

A

special variable that has both qualitative + quantitative variable characteristics.

26
Q

what qualitative characteristics do dates have?

A

order

27
Q

what can we use quantitative variables for?

A

use common statistical approaches to analyze numerical values.

28
Q

What can we use qualitative variables for?

A

to categorize, segment, and reveal relevant details in our data