Chapter 1: Data Introduction Flashcards

1
Q

Internet of Things

A

A world where interconnected Internet-enabled devices or “things” have the ability to collect and share data without human intervention.

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2
Q

Information age

A

The present time, during which infinite quantities of facts are widely available to anyone who can use a computer

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3
Q

Machine-to-Machine (M2M)

A

Refers to devices that connect directly to other devices

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4
Q

Data

A

Raw Facts that describe the characteristics of an event or object.

Ex. order date, amount sold

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5
Q

Information

A

Data converted into a meaningful and useful context.

Ex. Best-selling product, best customer

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6
Q

Business Intelligence

A

Information collected from multiple sources that analyzes patterns, trends, and relationships for strategic decision making.

Ex. Lowest sales per week compared with the economic interest rates

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7
Q

Knowledge

A

The skills, experience, and expertise, coupled with information and intelligence, that creates a person’s intellectual resources.

ex. Choosing not to fire a sales representative who is under-performing, knowing that a person is experiencing family problems

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8
Q

Machine-Generated Data

A

Created by a machine without human intervention.

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9
Q

Human-Generated Data

A

Data that humans, in interaction with computers, generate.

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10
Q

Structured Data

A

Has a defined length, type, and format and includes numbers, dates, or strings such as a customer address.

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11
Q

Unstructured Data

A

Not defined and does not follow a specified format and is typically free-form text such as emails.

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12
Q

Big Data

A

A collection of large, complex data sets, which cannot be analyzed using traditional database methods.

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13
Q

Snapshot

A

A view of data at a particular moment in time.

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14
Q

Report

A

A document containing data organized in a table, matrix, or graphical format.

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15
Q

Static Report

A

Created once based on data that does not change.

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16
Q

Dynamic Report

A

Changes automatically during creation.

17
Q

Descriptive Analytics

A

Techniques that describe past performance and history.

18
Q

Predictive Analytics

A

techniques that extract information from data and uses it to predict future trends and identify behavioral patterns.`

19
Q

Prescriptive Analytics

A

Techniques that create models indicating the best decision to make or course of action to take.

20
Q

Business Analytics

A

The scientific process of transforming data into insight for making better decisions.

21
Q

Knowledge Workers

A

Individuals valued for their ability to interpret and analyze information.

22
Q

Knowledge Assets

A

The human, structural, and recorded resources available to the organization.

23
Q

Knowledge Facilitators

A

Help harness the wealth of knowledge in the organization.

24
Q

Management information systems (MIS)

A

The function that plans for, develops, implements, and maintains IS hardware, software, and applications that people use to support the goals of an organization.

MIS is a business function, similar to Accounting, Finance, Operations, and Human Resources

25
Q

Information technology (IT)

A

The acquisition, processing, storage, and distribution of voice, graphics, text, and numbers and other information by a combination of computers and telecommunications networks.

26
Q

Information systems (IS)

A

Computer-based tools that used to work with information and support the information and information-processing needs of an organization.

Include: Hardware, Software, Trained personnel, Policies & Procedures & Security measures