Finals M3 Flashcards

1
Q

____________ includes machine generated data from sensory networks, nuclear plants, scanning devices, consumer driven data from social media
.

A

Big Data

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2
Q

The science of examining data (text,quantitative, qualitative, etc.)to bring fourth underlying information
.

A

Analytics

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3
Q

_________ is collected facts and figures

A

Data

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4
Q

_______ is a collection of computer files that contain information on people, locations, and so on

A

Database

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5
Q

____________ comes from analyzing data

A

Information

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6
Q

____________ begins with a data set or commonly with a
database.

A

Business analytics

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7
Q

As ___________ grow, they need to be stored somewhere.

A

Databases

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8
Q

A/an _____________ are hardware and software used for data remote storage, retrieval, and computation functions

A

computer clouds

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9
Q

A collection of databases used for reporting and
data analysis

A

data warehousing

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10
Q

__________________ examine historical data for similar products

A

Descriptive Analytics

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11
Q

__________________ predict sales based on price

A

Predictive Analytics

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12
Q

__________________ find the best sets of pricing and advertising to maximize sales revenue

A

Prescriptive Analytics

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13
Q

Business analytics represents only a ________________ of the overall problem solving and decision making process.

A

portion

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14
Q

What are the six steps in the problem solving process

A

Recognizing the problem
Defining the problem
Structuring the problem
Analyzing the problem
Interpreting results and making a decision
Implementing the solution

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15
Q

It exist when there is a gap between what is
happening and what we think should be happening

A

Recognizing the Problem

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16
Q

Problem complexity increases when the following occur:

  • Large number of courses of action
  • Several competing objectives
  • External groups are affected
  • Problem owner and problem solver are not the same person
  • Time constraints exist
A

Defining the Problem

17
Q

Stating goals and objectives
Characterizing the possible decisions
Identifying any constraints or restrictions

A

Structuring the Problem

18
Q

Identifying and applying appropriate Business Analytics techniques
Typically involves experimentation, statistical analysis, or a solution
process

A

Analyzing the Problem

19
Q

Managers interpret the results from the analysis phase.
Incorporate subjective judgment as needed.
Understand limitations and model assumptions.
Make a decision utilizing the above information.

A

Interpreting Results and Making a Decision

20
Q

Translate the results of the model back to the real world.

Make the solution work in the organization by providing adequate training and resources

A

Implementing the Solution

21
Q

An abstraction or representation of a real system, idea, or object

A

Model

22
Q

Can be a written or verbal description, a visual display, a
mathematical formula, or a spreadsheet representation

A

Models

23
Q

Managers typically need to know how best to use pricing, coupons and advertising strategies to influence sales

A

Sales-Promotion Model

24
Q

Simply tell “what is” and describe
relationships

A

Descriptive Decision Models

25
Q

As price increases,
demand falls.

A

A Linear Demand
Prediction Model

26
Q

Often incorporate
uncertainty to help managers analyze risk.

A

Predictive Decision Models

27
Q

________________________ is imperfect knowledge of what will happen in the future

A

Uncertainty

28
Q

help decision makers identify the
best solution.

A

Prescriptive Decision Models

29
Q

Finding values of decision variables that
minimize (or maximize) something such as cost (or profit).

A

Optimization

30
Q

The equation that minimizes (or maximizes)
the quantity of interest.

A

Objective function

31
Q

limitations or restrictions.

A

Constraints

32
Q

values of the decision variables at the
minimum (or maximum) point

A

Optimal solution

33
Q

____________ is all about exploration, visualization and model
building. Finding the right algorithm is often a process of trial
and error.

A

Discovery

34
Q

Steps of Analytics Life Cycle

A

Data
Discovery
Deployment