Enterprise Information Systems
Exam Questions
Course Introduction
Enterprise Information Systems explores the design, implementation, and management of integrated software solutions that support and streamline business processes across an organization. The course examines the technical architecture and functional components of enterprise systems such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Supply Chain Management (SCM), emphasizing their role in improving organizational efficiency, data-driven decision-making, and strategic competitiveness. Students will analyze real-world case studies, evaluate system selection and deployment strategies, and address the challenges of aligning information systems with business objectives, security concerns, and change management within complex enterprise environments.
Recommended Textbook
Business Intelligence and Analytics Systems for Decision Support 10th Edition by Ramesh
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Page 2
Sharda
Chapter 1: An Overview of Business Intelligence, Analytics, and Decision Support
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Q1) In a four-step process for decision making, managers construct a model of the problem before they evaluate potential solutions.
A)True
B)False
Answer: True
Q2) Pushing programming out to distributed data is achieved solely by using the Hadoop Distributed File System or HDFS.
A)True
B)False
Answer: False
Q3) A(n) ________ is a major component of a Business Intelligence (BI) system that holds source data.
Answer: data warehouse
Q4) Business intelligence (BI) can be characterized as a transformation of A) data to information to decisions to actions.
B) Big Data to data to information to decisions.
C) actions to decisions to feedback to information.
D) data to processing to information to actions.
Answer: A
Chapter 2: Foundations and Technologies for Decision Making
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Q1) Olavson and Fry (2008) have worked on many spreadsheet models for assisting decision makers at HP and have identified several lessons from both their successes and their failures when it comes to constructing and applying spreadsheet-based tools. How do they define a tool?
Answer: They define a tool as "a reusable, analytical solution designed to be handed off to nontechnical end users to assist them in solving a repeated business problem."
Q2) Knowledge-based management subsystems provide intelligence to augment the decision maker's own intelligence.
A)True
B)False
Answer: True
Q3) Relate four specific technologies that support all phases of the decision making process, and describe what they provide.
Answer: Databases, data marts, and especially data warehouses are important technologies in supporting all phases of decision making. They provide the data that drive decision making.
Q4) The user communicates with and commands the DSS through the ________ subsystem.
Answer: user interface
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Chapter 3: Data Warehousing
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Q1) What is the definition of a data mart?
Answer: A data mart is a subset of a data warehouse, typically consisting of a single subject area (e.g., marketing, operations). Whereas a data warehouse combines databases across an entire enterprise, a data mart is usually smaller and focuses on a particular subject or department.
Q2) All of the following statements about metadata are true EXCEPT
A) metadata gives context to reported data.
B) there may be ethical issues involved in the creation of metadata.
C) metadata helps to describe the meaning and structure of data.
D) for most organizations, data warehouse metadata are an unnecessary expense. Answer: D
Q3) Performing extensive ________ to move data to the data warehouse may be a sign of poorly managed data and a fundamental lack of a coherent data management strategy.
Answer: extraction, transformation, and load (ETL)
Q4) A well-designed data warehouse means that user requirements do not have to change as business needs change.
A)True
B)False
Answer: False
Page 5
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Chapter 4: Business Reporting, Visual Analytics, and Business Performance Management
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Q1) There are basic chart types and specialized chart types. A Gantt chart is a specialized chart type.
A)True
B)False
Q2) Performance dashboards enable ________ operations that allow the users to view underlying data sources and obtain more detail.
Q3) What are the three nonfinancial objectives of the balanced scorecard?
Q4) Benefits of the latest visual analytics tools, such as SAS Visual Analytics, include all of the following EXCEPT
A) mobile platforms such as the iPhone are supported by these products.
B) it is easier to spot useful patterns and trends in the data.
C) they explore massive amounts of data in hours, not days.
D) there is less demand on IT departments for reports.
Q5) For those executives who do not have the time to go through lengthy reports, the best alternative is the
A) last page of the report.
B) raw data that informed the report.
C) executive summary.
D) charts in the report.
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Chapter 5: Data Mining
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Q1) Describe the role of the <b>simple split</b> in estimating the accuracy of classification models.
Q2) Third party providers of publicly available datasets protect the anonymity of the individuals in the data set primarily by A) asking data users to use the data ethically. B) leaving in identifiers (e.g., name), but changing other variables. C) removing identifiers such as names and social security numbers.
D) letting individuals in the data know their data is being accessed.
Q3) Customer ________ management extends traditional marketing by creating one-on-one relationships with customers.
Q4) Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience, but it has little business significance. A)True B)False
Q5) ________ represent the labels of multiple classes used to divide a variable into specific groups, examples of which include race, sex, age group, and educational level.
Q6) List four myths associated with data mining.
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Chapter 6: Techniques for Predictive Modeling
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Q1) In a typical network structure of an ANN consisting of three layers-input, intermediate, and output-the intermediate layer is called the ________ layer.
Q2) Though useful in business applications, neural networks are a rough, inexact model of how the brain works, not a precise replica.
A)True
B)False
Q3) Which element in an artificial neural network roughly corresponds to a dendrite in a human brain?
A) node
B) input
C) output
D) weight
Q4) In the mining industry case study, the input to the neural network is a verbal description of a hanging rock on the mine wall.
A)True
B)False
Q5) Describe the nine steps in the development process for an ANN application.
Q6) The development process for an ANN application involves ________ steps.
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Chapter 7: Text Analytics, Text Mining, and Sentiment Analysis
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Q1) In the chapter's opening vignette, IBM's computer named Watson outperformed human game champions on the game show Jeopardy!
A)True
B)False
Q2) In the Hong Kong government case study, reporting time was the main benefit of using SAS Business Analytics to generate reports.
A)True
B)False
Q3) Categorization and clustering of documents during text mining differ only in the preselection of categories.
A)True
B)False
Q4) In the Blue Cross Blue Shield case study, speech analytics were used to identify "confusion" calls by customers. What was true about these calls?
A) They took less time than others as frustrated customers hung up.
B) They led customers to rely more on self-serve options.
C) They were not documented by customer service reps for speech analytics.
D) They were difficult to identify using standard phrases like "I don't get it."
Page 9
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Chapter 8: Web Analytics, Web Mining, and Social Analytics
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Q1) 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.
Q2) What are the two main types of Web analytics?
A) old-school and new-school Web analytics
B) Bing and Google Web analytics
C) off-site and on-site Web analytics
D) data-based and subjective Web analytics
Q3) What is one major way in which Web-based social media differs from traditional publishing media?
A) Most Web-based media are operated by the government and large firms.
B) They use different languages of publication.
C) They have different costs to own and operate.
D) Web-based media have a narrower range of quality.
Q4) Web site visitors who critique and create content are more engaged than those who join networks and spectate.
A)True
B)False
Page 10
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Chapter 9: Model-Based Decision Making: Optimization and
Multi-Criteria Systems
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Q1) Using modeling for decision support can currently achieve all of the following EXCEPT A) enhance the decision making process. B) enable organizations to see likely results of their decisions. C) replace strategy formulation at top levels of the organization. D) reduce the costs of providing services to customers.
Q2) ________ tables conveniently organize information and knowledge in a systematic, tabular manner to prepare it for analysis and consideration of alternatives.
Q3) Another name for result variables is independent variables.
A)True
B)False
Q4) List four difficulties that may arise when analyzing multiple goals.
Q5) The analytic hierarchy process can be used to great effect to solve multi-________ problems.
Q6) If linear programming can be successfully applied a problem, the output is usually optimal.
A)True
B)False
11
Q7) Compare and contrast decision making under uncertainty, risk and certainty.
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Chapter 10: Modeling and Analysis: Heuristic Search
Methods and Simulation
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Q1) An advantage of simulation is that it allows model builders to solve problems with minimal interaction with users or managers.
A)True
B)False
Q2) In the Hepatitis B case study, Markov models were used to determine the cost-________ of various governmental interventions for Hepatitis B.
Q3) In the RFID case study, the key variable tested by the simulation model was quicker availability of information about the location of various parts in the supply chain.
A)True
B)False
Q4) What is the final stage of an agent-based modeling (ABM) methodology?
A) identifying the agents and determining their behavior
B) determining the suitability of ABM
C) validating agent behavior against reality
D) determining agent-related data
Q5) Give a brief definition of genetic algorithms.
Q6) Simulation is the appearance of reality. Simulation is a ________ rather than a normative method.
Page 12
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Chapter 11: Automated Decision Systems and Expert Systems
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Q1) How does an expert system differ from conventional systems?
A) Changes in an expert system are tedious to make.
B) The expert system operates only when it is complete.
C) Expert systems handle qualitative data easily.
D) Execution of expert system programs is algorithmic or step-by-step.
Q2) Once validated, the knowledge acquired from experts or induced from a set of data must be represented in a format that does not need to be understandable by humans but must be executable on computers.
A)True
B)False
Q3) The knowledge possessed by human experts is often lacking in ________ and not explicitly expressed.
Q4) The knowledge base in an expert system must correspond exactly to the format of the knowledge base in the organization where it will be utilized.
A)True
B)False
Q5) What are three components that may be included in an expert system in addition to the three major components found in virtually all expert systems?
Page 13
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Chapter 12: Knowledge Management and Collaborative Systems
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Q1) ________ refers to software products that address project-oriented and collaborative types of processes.
Q2) Knowledge management systems are little help to companies when experts leave and take their knowledge with them.
A)True
B)False
Q3) One main criticism of the ________ approach is that it fails to capture much of the tacit knowledge embedded in firms.
Q4) Tacit knowledge is described as formal, structured knowledge that is well documented.
A)True
B)False
Q5) Which set of technologies that support knowledge management is characterized by mashups, blogs, social networks, and wikis?
A) artificial intelligence
B) XML
C) ERP
D) Web 2.0
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Q6) ________-based groupware is the norm for anytime/anyplace collaboration.
Chapter 13: Big Data and Analytics
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Q1) Many analytics tools are too complex for the average user, and this is one justification for Big Data.
A)True
B)False
Q2) All of the following statements about MapReduce are true EXCEPT
A) MapReduce is a general-purpose execution engine.
B) MapReduce handles the complexities of network communication.
C) MapReduce handles parallel programming.
D) MapReduce runs without fault tolerance.
Q3) Hadoop was designed to handle petabytes and extabytes of data distributed over multiple nodes in parallel.
A)True
B)False
Q4) 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.
Q5) What is a data scientist and what does the job involve?
Q6) HBase, Cassandra, MongoDB, and Accumulo are examples of ________ databases.
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Chapter 14: Business Analytics: Emerging Trends and Future Impacts
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Q1) Describe your understanding of the emerging term people analytics. Are there any privacy issues associated with the application?
Q2) How do the traditional location-based analytic techniques using geocoding of organizational locations and consumers hamper the organizations in understanding "true location-based" impacts?
Q3) Web-based e-mail such as Google's Gmail are not examples of cloud computing.
A)True
B)False
Q4) Southern States Cooperative used analytics to prepare the customized catalogs to suit the targeted ________ needs, resulting in better revenue generation.
Q5) What new geometric data type in Teradata's data warehouse captures geospatial features?
A) NAVTEQ
B) ST_GEOMETRY
C) GIS
D) SQL/MM
Q6) What is mobile social network and how does it extend the reach of popular social networks?
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