Types of Analytics Flashcards

1
Q

Types of Analytics

A

Descriptive
Predictive
Prescriptive

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2
Q

the starting point of doing analytics for businesses

A

descriptive analytics

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3
Q

it uses data to understand the past and current business performance and make informed decisions

A

descriptive

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4
Q

uses already existing data from the enterprise

A

descriptive

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5
Q

it collects and consolidates data and transforms them into meaningful information displayed as charts and tables to monitor performance

A

descriptive

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6
Q

it is also the most reliable, as it uses data that is considered final and is already recorded in the system

A

descriptive

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7
Q

it answers the question, “What has happen?”

A

descriptive

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8
Q

analyzes past performance in an effort to predict the future by examining historical data, detecting patterns or relationships in these data and then extrapolating these relationships forward in time

A

predictive

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9
Q

This is the next step and in analytics implementation for an enterprise, and cannot exist without descriptive analytics, because past data need to exist first, before extrapolation can happen and patterns emerge

A

predictive

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10
Q

aims to answer the question, “What will happen?”

A

predictive

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11
Q

are used extensively for data exploration in prescriptive analytics

A

statictical methods

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12
Q

are used constantly in order to derive information from past data

A

regression
correlation
projection

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13
Q

uses optimization to identify the best alternative to minimize or maximize some objective

A

prescriptive

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14
Q

considered as Holy Grail of Analytics

A

Prescriptive

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15
Q

aims to answer the question, “Out of all these alternatives, what should we do?” or “What is the best that could happen?”

A

prescriptive

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16
Q

how many data created everyday

A

2.5 quintillion bytes