Chapter 1 Flashcards

1
Q

Analytics

A

the process of developing actionable decisions or recommendations for actions based on insights generated from historical data

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2
Q

Analytics Ecosystem

A

classification of sectors, technology/solution providers, and industry participants for analytics (analytics flower centered on user organizations)

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3
Q

Artificial Intelligence

A

behavior by a machine that, if performed by a human being, would be called intelligent

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4
Q

Augmented Intelligence

A

an alternative conceptualization of artificial intelligence that focuses on AI’s assistive role, emphasizing the fact that it is designed to enhance human intelligence rather than replace it

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5
Q

Big Data Analytics

A

application of analytics methods and tools to Big Data

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6
Q

Business Intelligence (BI)

A

a conceptual framework for managerial decision support. It combines architecture, databases (or data warehouses), analytical tools, and applications

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7
Q

Choice Phase

A

Simon’s 3 of 4

Solution to the model
Sensitivity analysis
Selection to the best (good)
alternative(s)
Plan for implementation

Verification, Testing of the Proposed Solution

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8
Q

Dashboard

A

a visual presentation of critical data for executives to view. It allows executives to see hot spots in seconds
and explore the situation

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9
Q

Data Mining

A

a process that uses statistical, mathematical,
artificial intelligence, and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases

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10
Q

Decision or Normative Analytics

A

this is a type of analytics modeling that aims at
identifying the best possible decision from a large set of alternatives (prescriptive analytics)

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11
Q

Design Phase

A

Simon’s 2 of 4

Formulate a model
Set criteria for choice
Search for alternatives
Predict and measure outcomes

Validation of Model

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12
Q

Implementation Phase

A

Simon’s 4 of 4

the phase that involves putting a
recommended solution to work, not necessarily implementing a computer system

involves collecting and analyzing data to learn from the previous decisions and improve the next decision.

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13
Q

Intelligence Phase

A

Simon’s 1 of 4

Organization objectives
Search and scanning procedures
Data collection
Problem identification
Problem ownership
Problem classification
Problem statement

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14
Q

Online Analytical Processing (OLAP)

A

an information system that enables the user, while at a PC, to query the system, conduct an analysis, and so on. The result is generated in
seconds

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15
Q

Online Transaction Processing (OLTP)

A

a transaction system that is primarily responsible for capturing and storing
data related to day-to-day business functions

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16
Q

Predictive Analytics

A

use of tools that help determine the
probable future outcome for an event or the likelihood of a situation occurring. These tools also identify relationships and patterns

17
Q

Prescriptive Analytics

A

a branch of business analytics that
deals with finding the best possible solution alternative for a given problem

the goal here is to provide a decision or a recommendation for a specific action

18
Q

Structured Problem

A

a decision situation where a specific set of steps can be followed to make a straightforward decision

19
Q

Semistructured Problem

A

a category of decision problems
where the decision process has some structure to it but still requires subjective analysis and an iterative approach

20
Q

Unstructured Problem

A

a decision setting where the steps
are not entirely fixed or structured, but may require subjective considerations

21
Q

Operational Control

A

the efficient and effective execution of specific tasks

22
Q

Managerial Control

A

acquisition and efficient use of resources in the accomplishment of organizational goals

23
Q

Strategic Planning

A

involves defining long-range goals and policies for resource allocation;