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Business Intelligence is a comprehensive course that explores the processes, technologies, and strategies used to collect, analyze, and present business data for informed decision-making. Students will learn how to utilize data warehousing, data mining, and analytical tools to transform raw data into actionable insights. Topics include the use of dashboards, reporting systems, key performance indicators (KPIs), and visualization techniques to support organizational objectives. Through case studies and hands-on projects, students gain practical experience in integrating business intelligence solutions into real-world business environments to enhance operational efficiency and competitive advantage.
Recommended Textbook
Decision Support and Business Intelligence Systems 9th Edition by Efraim Turban
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14 Chapters
965 Verified Questions
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68 Verified Questions
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Sample Questions
Q1) Research and development (R & D)planning and social responsibility planning are unstructured decisions,which cannot be supported by computerized decision support systems.
A)True
B)False
Answer: False
Q2) Most DSS are constructed to <i>directly</i> support specific decision making.In contrast,BI systems,in general typically provide accurate and timely information to support decision support <i>indirectly</i>.This difference is diminishing because decision support tools are being added to BI software packages.
A)True
B)False
Answer: True
Q3) Computer applications have progressed from transaction processing and monitoring to problem analysis and solution applications,and much of the activity is supported by spreadsheet technologies.
A)True
B)False
Answer: False

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Sample Questions
Q1) Problem identification is the conceptualization of a problem in an attempt to place it in a definable category,possibly leading to a standard solution approach.
A)True
B)False
Answer: False
Q2) A(n)________ is a step-by-step search in which improvement is made at every step until the best solution is found.
Answer: algorithm
Q3) Which of the following is a study of the effect of a change in one or more input variables on a proposed solution?
A) Sensitivity analysis
B) Boundary analysis
C) Fish bone analysis
D) Input-output analysis
Answer: A
Q4) Much of the information used in seeking new opportunities is ________,or soft.
Answer: qualitative
Q5) ________ is synonymous with the whole process of management. Answer: Decision making
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Q1) Explain the role,components,and importance of the user interface (dialog)subsystem.
Answer: The user interface covers all aspects of communication between a user and the DSS or any MSS.It includes the hardware,software,and factors that deal with ease of use and accessibility.The user interface is one of the most important components because it determines the systems' power,flexibility,and ease-of-use.A difficult user interface is one of the major reasons managers for system failures.
Q2) All DSSs have common components that enable them to provide the same capabilities and support to users.
A)True
B)False
Answer: False
Q3) A key component of DSS is the ability to visualize the results.For example,it is important for executives to visualize the results of modifying assumptions.
A)True
B)False
Answer: False
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Sample Questions
Q1) List and briefly discuss the three major components of linear programming.
Q2) ________ models are time dependent; and are valuable because they represent trends and patterns over time.
Q3) ________ analysis calculates the values of the inputs necessary to achieve a desired level of an output.
Q4) Distinguish between decision making under certainty,risk,and uncertainty.
Q5) Heuristics techniques are used mainly for solving structured problems,usually of a tactical or operational nature,in areas such as resource allocation or inventory management.
A)True
B)False
Q6) Models,like data,must be managed to maintain their applicability,and thus their integrity.
A)True
B)False
Q7) List the type of relationships sensitivity analysis study can test.
Q8) A(n)________ is a model based management system constructed in an object-oriented environment.
Q9) List the steps involved in the simulation process.
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Sample Questions
Q1) List five of the data mining mistakes often made in practice.
Q2) The simple split methodology splits the data into two mutually exclusive subsets called a ________ set and a ________ set.
A) training; test
B) positive; negative
C) holdout; training
D) matrix; test
Q3) Compared to the other steps in CRISP-DM,data preprocessing consumes the most time and effort; most believe that this step accounts for roughly 80 percent of the total time spent on a data mining project
A)True
B)False
Q4) At the highest level of abstraction,data can be classified as ________ and ________.
A) alpha; numeric
B) categorical; numerical
C) nominal; ratio
D) interval; ration
Q5) Identify and describe the two types of numerical data.Give an example of each.
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Q1) The early neural network model is called ________.
Q2) ANN can also be used as simple biological models to test ________ about biological neuronal information processing.
A) hypotheses
B) assumptions
C) theory
D) proposition
Q3) Training of artificial neural networks is an iterative process and the iteration continues until the error sum is converged to below a preset accep level.
A)True
B)False
Q4) Each biological neuron possesses axons and ________,finger-like projections that enable the neuron to communicate with its neighboring neurons by transmitting and receiving electrical and chemical signals.
Q5) Several types of data,such as text,pictures,and voice,can be used as inputs in network information processing.
A)True
B)False
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Sample Questions
Q1) Text mining is the semi-automated process of extracting ________ from large amounts of unstructured data sources.
A) patterns
B) useful information
C) knowledge
D) all of the above
Q2) Compared to polygraphs for deception-detection,text-based deception detection has the advantages of being nonintrusive and widely applicable to textual data and transcriptions of voice recordings.
A)True
B)False
Q3) Commercial software tools include all of the following except:
A) GATE
B) IBM Intelligent Miner Data Mining Suite
C) SAS Text Miner
D) SPSS Text Mining
Q4) What is the primary purpose of text mining within the context of knowledge discovery?
Q5) ________ is the process of reducing inflected words to their base or root form.
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Q6) List three business applications of Web mining.
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Q1) Describe various integration technologies that enable data and metadata integration.
Q2) ETL tools transport data between sources and targets,document how data elements change as they move between source and target,exchange metadata with other applications,and administer all runtime processes and operations.
A)True
B)False
Q3) A hosted data warehouse has less functionality than an onsite data warehouse,but it does not consume computer resources on client premises for computer upgrades,software licenses,in-house development,and in-house support and maintenance.
A)True
B)False
Q4) A data warehouse differs from an operational database in that most data warehouses have a product orientation and are designed to handle transactions that update the database.
A)True
B)False
Q5) Identify at least five data warehouse best practices.
Q6) Describe a star schema.
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Q1) Six Sigma is drastically different from other business initiatives.
A)True
B)False
Q2) A ________ is the quantification of an objective for a designated period of time.For example,if an organization has an objective of increasing profitability,that objective is turned into quantified targets
Q3) BPM is an enterprise-wide strategy that seeks to prevent organizations from optimizing ________ business at the expense of overall corporate performance.
A) corporate wise
B) global
C) regional
D) local
Q4) ________ outline those things that an organization must excel at to be successful in their market space.
Q5) Most companies use ________ to monitor organizational performance and correct deviations from present performance standards.
Q6) Describe the conditions under which an information system can be used as diagnostic control system.
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Q1) ________ that is a qualitative forecasting methodology using anonymous questionnaires.
Q2) Successful enterprise-wide collaboration systems such as Lotus Notes/Domino can be inexpensive to develop and operate because no support staff is required.
A)True
B)False
Q3) The success of a GSS depends mostly on its ________.
Q4) A wikilogs is an extension of a(n)________,which is created by an individual or a small group and may have a discussion board.
A) im
B) wiki C) log D) blog
Q5) Describe the major characteristics of a GDSS.
Q6) There is never a tendency for poor quality compromised solutions in groupwork. A)True
B)False

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Q7) Describe the steps that managers must do in creating a work environment that supports collaboration.
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Q1) Define tacit knowledge.
Q2) The situation at Mrs.Fields illustrates that while organizations can achieve significant short-term gains through KMS,they must not neglect the creative process of new knowledge creation or they may find themselves applying yesterday's solutions to tomorrow's problems.
A)True
B)False
Q3) Which of the following is not a learning skill?
A) Openness to new perspectives
B) Awareness of personal biases
C) Exposure to unfiltered data
D) A sense of urgency
Q4) Nontrivial ________ methods,such as rewards and recognition,to encourage users to contribute and use knowledge.
Q5) Explicit knowledge is:
A) easy to explain.
B) easy to apply.
C) easy to document.
D) easy to explain, document and apply.
Q6) Describe the role of the CKO.

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Q1) Which of the following technology allows computer users the ability to communicate with a computer in their native language?
A) NAP
B) NLP
C) NBP
D) XML
Q2) Which of the following is the brain of an expert system?
A) Knowledge base
B) Inference engine
C) User interface
D) Blackboard
Q3) Describe abilities that are signs of intelligence.
Q4) A major goal of ________ is to help experts articulate how they do what they do and to document this knowledge in a reusable form.
A) heuristics
B) knowledge engineering
C) knowledge refinement
D) rule interpreting
Q5) An ________ is an expert system without the knowledge in the knowledge base.
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Q1) The foundation of case-based reasoning is a library of cases called ________.
A) case base
B) data base
C) legacy system
D) reasoning base
Q2) Define these three categories of cases--ossified cases,paradigmatic cases,and stories--based on their different characteristics and the different ways of handling them.
Q3) Which of the following is a limitation of GA?
A) Difficult to determine good variables for a particular problem
B) The results of GA may vary
C) It might reach local optimum
D) All of the above
Q4) ________ is the degree to which agents themselves travel through a network.Some agents may be static,either residing on the client machine or initiated at the server.
Q5) ________ deals with the kind of uncertainty and partial information that is inherently human in nature.
Q6) In machine learning,the ________ is a method for using a linear classifier algorithm to solve a nonlinear problem
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Q1) RFID tag data for products consist of the following information except:
A) manufacturer
B) carrier
C) product
D) serial number
Q2) Although many jobs may be substantially enriched by MSS,other jobs may become more routine and less satisfying.
A)True
B)False
Q3) A major objective of Web 2.0 is to enhance creativity,information sharing,and ________.
Q4) Gillette has used RFID to determine whether stores have stocked their shelves with particular items for a particular promotion.They found that in those stores that used RFID to move a product from the backroom to the shelf before a promotion started,sales were ________ than those that did not move the product in a timely manner.
A) 8 percent higher
B) 18 percent higher
C) 28 percent higher
D) 48 percent higher To view all questions and