Chapter 6 Flashcards

(26 cards)

1
Q

What are the four aspects of data?

A

Data type, timeliness, quality, governance

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2
Q

Data type

A

Transactional (data), analytical (information)

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3
Q

Data governance

A

The management of the availability, usability, integrity, and security of data, implemented via policies

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4
Q

Database

A

A collection of tables to keep track of anything in which users are interested

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5
Q

DBMS

A

Creates, reads, updates, and deletes data in a database while controlling access and security

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6
Q

Data warehouse

A

A collection of data gathered from internal and external databases to support business analysis and decision-making

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7
Q

Internal databases

A

Marketing, sales, inventory, billing

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8
Q

External databases

A

Competitor information, industry information, mailing lists, stock market analysis

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9
Q

Scrubbing

A

Data cleaning: fixes or discards dirty data

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10
Q

ETL

A

Extraction, transformation, loading

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11
Q

Data mining

A

The process of analyzing a large amount of data to extract hidden patterns
and relationships among various factors
POP TART CAT WHOOOO

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12
Q

Cluster analysis is a form of what?

A

Data mining

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13
Q

Cluster analysis

A

To divide data into mutually exclusive groups such that the members within a group are as close together to one another as possible

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14
Q

Association detection

A

To reveal the relationship between variables, and the nature and frequency of the relationships

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15
Q

What is an example of association detection?

A

Market Basket Analysis

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16
Q

What is market basket analysis?

A

Analyzing what people buy together

17
Q

PRIZM

A

Sorts customers by shopping behaviors and media preferences

18
Q

P$YCLE

A

Sorts customers by their financial and

investment behaviors

19
Q

ConneXions

A

Sorts customers by their usage of technology, voice, video and data services

20
Q

Demographics

A

Quantifiable characteristics of a given population (marriage status, age, income, etc.)

21
Q

Information granularity

A

The extent of detail within the information

22
Q

Metadata

A

Provides details about data

23
Q

Information cube

A

The representation of multidimensional information: store info, product info, promotion info

24
Q

Association detection

A

Reveals the relationship between variables along with the nature and frequency of the relationships

25
Statistical analysis
Performs such functions as information correlations, distributions, calculations, and variance analysis
26
What are the five characteristics of data quality?
1. Unique 2. Accurate 3. Complete 4. Consistent 5. Timely