Participating in social media is so new that it is still optional for most companies in the
United States.
In most cases, Hadoop is used to replace data warehouses.
In the patent analysis case study, text mining of thousands of patents held by the firm
and its competitors helped improve competitive intelligence, but was of little use in
identifying complementary products.
Regional accents present challenges for natural language processing.
The practice approach to knowledge management focuses on formal controls,
procedures, and standard operating procedures.
With key performance indicators, driver KPIs have a significant effect on outcome
KPIs, but the reverse is not necessarily true.
The key to effective knowledge management is extracting and encoding expert
knowledge that can be accessed and reused by others.
Spreadsheets are the second most popular tool for modeling.
Most managerial problems can be properly evaluated and solved using a single goal,
such as profit maximization.
The use of simulation models is desirable because they can usually be solved in one
pass, without incurring the time and cost of iterations.
Simulation solutions cannot easily be transferred from one problem domain to another.
Organizations seldom devote a lot of effort to creating metadata because it is not
important for the effective use of data warehouses.
The use of dashboards and data visualizations is seldom effective in finding efficiencies
in organizations, as demonstrated by the Seattle Children’s Hospital Case Study.
A revenue management (RM) system for an airline seeks to minimize each customer’s
ticket price of travel on the airline’s flights.
Generally speaking, support vector machines are less accurate a prediction method than
other approaches such as decision trees and neural networks.
In group decision making, a virtual team is one that meets in one geographical location
using information technology.
If you have many flexible programming languages running in parallel, Hadoop is
preferable to a data warehouse.
Having more Web traffic coming from organic search than other types of search is the
goal of most companies.
Hybrid knowledge management approaches that combine the process and practice
approaches are unworkable for most organizations that must choose between one and
the other.
In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of
one’s feelings.
Chinese, Japanese, and Thai have features that make them more difficult candidates for
natural language processing.
Cloud computing originates from a reference to the Internet as a “cloud” and is a
combination of several information technology components as services.
It is important for Big Data and self-service business intelligence go hand in hand to get
maximum value from analytics.
Once you have a lot of compiled user generated information collected through the web,
it is immediately available for use in a knowledge management system.
Once knowledge is captured and entered into a knowledge repository, it must be
reevaluated in the future.
The complexity of today’s business environment creates many new challenges for
organizations, such as global competition, but creates few new opportunities in return.
In the Great Clips case study, the company uses geospatial data to analyze, among other
things, the types of haircuts most popular in different geographic locations.
Visual interactive modeling (VIM) systems, especially those developed for the military
and the video-game industry, have “thinking” characters who can behave with a
relatively high level of intelligence in their interactions with users.
The use of hidden layers and new topologies and algorithms renewed waning interest in
neural networks.
Data-as-a-service began with the notion that data quality could happen in a centralized
place, cleansing and enriching data and offering it to different systems, applications, or
users, irrespective of where they were in the organization, computers, or on the
network.
Web-based e-mail such as Google’s Gmail are not examples of cloud computing.
Data mining can be very useful in detecting patterns such as credit card fraud, but is of
little help in improving sales.
Social media analytics companies provide integrated support that is helpful to many
parts of a business, not only the Sales and Marketing functions.
In the cancer research case study, data mining algorithms that predict cancer
survivability with high predictive power are good replacements for medical
professionals.
Inference rules and knowledge rules are both used to solve problems in a rule-based
expert system.
The BPM development cycle is essentially a one-shot process where the requirement is
to get it right the first time.
An advantage of simulation is that it allows model builders to solve problems with
minimal interaction with users or managers.
In data mining, classification models help in prediction.
Which of the following statements about the analytic hierarchy process (AHP) is true?
A) It is really not a decision model at all.
B) It can handle multiple criteria and goals.
C) It is based entirely on quantitative data.
D) It is an opaque “black box” in the same way as neural networks.
Which of the following is LEAST related to data/information visualization?
A) information graphics
B) scientific visualization
C) statistical graphics
D) graphic artwork
Research into managerial use of DSS and expert systems found all the following
EXCEPT
A) managers spent more of their time planning.
B) managers saw their decision making quality enhanced.
C) managers spent more time in the office and less in the field.
D) managers were able to devote less of their time fighting fires.
When Sabre developed their Enterprise Data Warehouse, they chose to use
near-real-time updating of their database. The main reason they did so was
A) to provide a 360 degree view of the organization.
B) to aggregate performance metrics in an understandable way.
C) to be able to assess internal operations.
D) to provide up-to-date executive insights.
In the Coors case study, why was a genetic algorithm paired with neural networks in the
prediction of beer flavors?
A) to replace the neural network in harder cases
B) to complement the neural network by reducing the error term
C) to enhance the neural network by pre-selecting output classes for the neural network
D) to best model how the flavor of beer evolves as it ages
________ is a mechanism that integrates application functionality and shares
functionality (rather than data) across systems, thereby enabling flexibility and reuse.
Why is sensitivity analysis frequently used for artificial neural networks?
A) because it is required by all major artificial neural networks
B) because some consequences of mistakes by the network might be fatal, so
justification may matter
C) because it is generally informative, although it cannot help to identify
cause-and-effect relationships among variables
D) because it provides a complete description of the inner workings of the artificial
neural network
In the Magpie Sensing case study, the automated collection of temperature and
humidity data on shipped goods helped with various types of analytics. Which of the
following is an example of prescriptive analytics?
A) real time reports of the shipment’s temperature
B) warning of an open shipment seal
C) location of the shipment
D) optimal temperature setting
Ratio data is a type of categorical data.
In text mining, tokenizing is the process of
A) categorizing a block of text in a sentence.
B) reducing multiple words to their base or root.
C) transforming the term-by-document matrix to a manageable size.
D) creating new branches or stems of recorded paragraphs.
Neural networks have been described as “biologically inspired.” What does this mean?
A) They are faithful to the entire process of computation in the human brain.
B) They were created to look identical to human brains.
C) They crudely model the biological makeup of the human brain.
D) They have the power to undertake every task the human brain can.
The question “How many servers will be needed to reduce the waiting time of
restaurant customers to less than 9 minutes?” is a type of
A) goal-seeking analysis.
B) what-if analysis.
C) sensitivity analysis.
D) utility modeling.
All of the following statements about social networks are true EXCEPT
A) it is possible to gain insights into how products go viral.
B) companies should invest equally to retain all members of a group.
C) members of a group are affected by the behavior of others in the group.
D) a group with all interconnected individuals is called a clique.
All of the following statements about data mining are true EXCEPT
A) understanding the business goal is critical.
B) understanding the data, e.g., the relevant variables, is critical to success.
C) building the model takes the most time and effort.
D) data is typically preprocessed and/or cleaned before use.
The access to data and ability to manipulate data (frequently including real-time data)
are key elements of business intelligence (BI) systems.
Which component of service-oriented DSS can be defined as data that describes the
meaning and structure of business data, as well as how it is created, accessed, and used?
A) application programming interface
B) analytics
C) operations and administration
D) metadata management
________ are of particular interest to modeling highly nonlinear, complex problems,
systems, and processes and use hyperplanes to separate output classes in training data.
What form of decision theory assumes that decision makers are rational beings who
always seek to strictly maximize economic goals?
A) the theory of bounded rationality
B) normative decision theory
C) satisficing decision theory
D) human optimal decision theory
Which of the following is considered the economic engine of the whole analytics
industry?
A) application developers and system integrators
B) analytics user organizations
C) analytics industry analysts and influencers
D) academic providers and certification industries
Search engines do not search the entire Web every time a user makes a search request,
for all the following reasons EXCEPT
A) the Web is too complex to be searched each time.
B) it would take longer than the user could wait.
C) most users are not interested in searching the entire Web.
D) it is more efficient to use pre-stored search results.
What data discovery process, whereby objects are categorized into predetermined
groups, is used in text mining?
A) clustering
B) association
C) classification
D) trend analysis
In the opening vignette, which method was the best in both accuracy of predicted
outcomes and sensitivity?
A) ANN
B) CART
C) C5
D) SVM
What type of user interface has been recognized as an effective DSS GUI because it is
familiar, user friendly, and a gateway to almost all sources of necessary information and
data?
A) ASP.net
B) Web browsers
C) visual basic interfaces
D) mainframe interfaces
Which element in an artificial neural network roughly corresponds to a dendrite in a
human brain?
A) node
B) input
C) output
D) weight
In agent-based modeling, agents are
A) autonomous rule-based decision making units.
B) the human workers or agents who use the system.
C) the hardware platform used to conduct the simulation.
D) communication links between simulations.
In the Army expertise transfer system case, what did ‘knowledge harvesting’ involve?
A) interviewing experts, posting their knowledge verbatim and seeking continual
feedback
B) observing experts at work and documenting their expertise in different tasks
C) interviewing experts and transcribing and mining their knowledge
D) allowing experts to enter their knowledge directly into the knowledge system
The software that manages the DSS database and enables relevant data to be accessed
by DSS application programs is called
A) KWS.
B) ERP.
C) DBMS.
D) CRM.
Why are analytical decision making skills now viewed as more important than
interpersonal skills for an organization’s managers?
A) because interpersonal skills are never important in organizations
B) because personable and friendly managers are always the least effective
C) because analytical-oriented managers produce better results over time
D) because analytical-oriented managers tend to be flashier and less methodical
Backpropagation learning algorithms for neural networks are
A) the least popular algorithm due to their inaccuracy.
B) used without hidden layers for effectiveness.
C) used without a training set of data.
D) required to have error tolerance set in advance.
Companies with the largest revenues from Big Data tend to be
A) the largest computer and IT services firms.
B) small computer and IT services firms.
C) pure open source Big Data firms.
D) non-U.S. Big Data firms.
What is an influence diagram?
A) a diagram showing the influence of decision makers
B) a graphical representation of a model
C) a map of the environment around decision makers
D) a map of the environment around a model
What software or facility is best for a small firm spread out across the Northeast U.S.
looking to inexpensively conduct regular videoconferencing?
A) Excel
B) decision rooms
C) SharePoint
D) WebEx
Service-oriented thinking is one of the fastest growing paradigms in today’s economy.
Which of the following is NOT a characteristic of service-oriented DSS?
A) reusability
B) substitutability
C) extensibility
D) originality
In social network analysis, who are your most powerful influencers and why are they
important?
Give a simple definition of simulation in MSS.
In the Fred Astaire East Side Dance Studio case study, a(n) ________ model was used
to organize ballroom showcases and arrange participants and timeslots accordingly.
IaaS, AaaS and other ________-based offerings allow the rapid diffusion of advanced
analysis tools among users, without significant investment in technology acquisition.
In machine learning, the ________ is a method for converting a linear classifier
algorithm into a nonlinear one by using a nonlinear function to map the original
observations into a higher-dimensional space.
In the Lotte.com retail case, the company deployed SAS for Customer Experience
Analytics to better understand the quality of customer traffic on their Web site, classify
order rates, and see which ________ had the most visitors.
As described in the 2degrees case study, a common problem in the mobile
telecommunications industry is defined by the term ________, which means customers
leaving.
Identifying a model’s ________ (e.g., decision and result) and their relationships is very
important in creating and using models.
Geographical Information Systems (GIS) can be readily integrated with other, more
traditional ________ components and tools for improved decision making.
In what ways can communications companies use geospatial analysis to harness their
data effectively?
A(n) ________ is a typically mathematically based model that describes things as they
are or as they are believed to be.
Knowledge extraction, pattern analysis, data archaeology, information harvesting,
pattern searching, and data dredging are all alternative names for ________.
Because DSS deal with semistructured or unstructured problems, it is often necessary to
customize models, using programming tools and languages. For small and
medium-sized DSS or for less complex ones, ________ software is usually used.
The time-demanding and laborious process of the ________ approach makes it
impractical for use with live audio streams.
The ________ phase involves putting a recommended solution to work, not necessarily
implementing a computer system.
________ models are macro-level simulation models in which aggregate values and
trends are considered.
Simulation involves setting up a ________ of a real system and conducting repetitive
experiments on it.