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BUAL 5380 EXAM QUESTIONS AND ANSWERS
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Involve higher-level issues concerned with the overall direction of the organization.
Define the organization's overall goals and aspirations for the future.
Select the correct term
1Strategic decisions: 2Business analytics:
3utility theory: 4advanced analytics:
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Terms in this set (80)
Involve higher-level issues concerned with the overall direction of the
Strategic decisions: organization.
• Define the organization's overall goals and aspirations for the future.
• Concern how the organization should achieve the goals and
Tactical decisions: objectives set by its strategy.
• Are usually the responsibility of midlevel management.
• Affect how the firm is run from day to day.
Operational decisions:
• Are the domain of operations managers, who are the closest to the customer.
• Scientific process of transforming data into insight for making better decisions.
Business analytics: • Used for data-driven or fact-based decision making, which is
often seen as more objective than other alternatives for decision
making.
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Encompasses the set of techniques that describes what has happened in
the past; examples include:
• Data queries.
• Reports.
Descriptive analytics:
• Descriptive statistics.
• Data visualization (including data dashboards).
• Data-mining techniques.
• Basic what-if spreadsheet models.
Data query: A request for information with certain characteristics from a database.
Collections of tables, charts, maps, and summary statistics that are
Data dashboards:
updated as new data become available
The use of analytical techniques for better understanding patterns
Data mining:
and relationships that exist in large data sets.
Consists of techniques that use models constructed from past data to
Predictive analytics:
predict the future or ascertain the impact of one variable on another.
involves the use of probability and statistics to construct a computer
Simulation
model to study the impact of uncertainty on a decision.
Indicates a best course of action to take:
• Provide a forecast or prediction, but do not provide a decision.
Prescriptive Analytics:
• A forecast or prediction, when combined with a rule, becomes
a prescriptive model.
rule-based models: Prescriptive models that rely on a rule or set of rules are often referred to as
Optimization models: Models that give the best decision subject to constraints of the situation.
Combines the use of probability and statistics to model uncertainty
Simulation optimization: with optimization techniques to find good decisions in highly
complex and highly uncertain settings.
Used to develop an optimal strategy when a decision maker is faced
Decision analysis:
with several decision alternatives and an uncertain set of future
events.
which assigns values to outcomes based on the decision maker's
utility theory:
attitude toward risk, loss, and other factors.
Any set of data that is too large or too complex to be handled by
Big data:
standard data- processing techniques and typical desktop software.
describes the phenomenon of big data through the four Vs (as shown in Figure 1.1):
• Volume.
IBM: • Velocity.
• Variety.
• Veracity.
An open-source programming environment that supports big data
Hadoop:
processing through distributed storage and processing on clusters of
computers.
A programming model used within Hadoop that performs two major
MapReduce:
steps: the map step and the reduce step.
the protection of stored data from destructive forces or unauthorized
Data security
users, is of critical importance to companies.
is the technology that allows data, collected from sensors in all types
Internet of Things (IoT)
of machines, to be sent over the Internet to repositories where it can
be stored and analyzed.
Predictive and prescriptive analytics are sometimes referred to as.
advanced analytics:
The facts and figures collected, analyzed, and summarized for
Data:
presentation and interpretation.
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