Decision Support Systems
Exam Solutions
Course Introduction
Decision Support Systems explores the concepts, design, and implementation of computerized systems aimed at aiding organizational decision-making. The course covers key components such as data management, model-driven analysis, and user interface design, emphasizing the integration of information technology with analytical tools to support complex business scenarios. Students examine decision processes, the role of artificial intelligence in decision support, and the development of practical DSS solutions that enhance managerial effectiveness. Case studies and hands-on projects allow learners to apply theoretical principles to real-life decision-making challenges in various organizational contexts.
Recommended Textbook
Business Intelligence A Managerial Perspective on Analytics 3rd Edition by Ramesh Sharda
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7 Chapters
490 Verified Questions
490 Flashcards
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Chapter 1: An Overview of Business Intelligence, Analytics, and Decision Support
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70 Verified Questions
70 Flashcards
Source URL: https://quizplus.com/quiz/39022
Sample Questions
Q1) The success of BI is assured not because of which personnel would be the most likely to use it,but as a result of pervasive adoption across the organization.
A)True
B)False
Answer: False
Q2) What has caused the growth of the demand for instant,on-demand access to dispersed information?
A) the increasing divide between users who focus on the strategic level and those who are more oriented to the tactical level
B) the need to create a database infrastructure that is always online and contains all the information from the OLTP systems
C) the more pressing need to close the gap between the operational data and strategic objectives
D) the fact that BI cannot simply be a technical exercise for the information systems department
Answer: C
Q3) ________ analytics help managers understand probable future outcomes.
Answer: Predictive
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Chapter 2: Data Warehousing
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70 Verified Questions
70 Flashcards
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Sample Questions
Q1) Mehra (2005)indicated that few organizations really understand metadata,and fewer understand how to design and implement a metadata strategy.How would you describe metadata?
Answer: Metadata are data about data.Metadata describe the structure of and some meaning about data,thereby contributing to their effective or ineffective use.
Q2) The hub-and-spoke data warehouse model uses a centralized warehouse feeding dependent data marts.
A)True
B)False
Answer: True
Q3) Data warehouses are subsets of data marts.
A)True
B)False
Answer: False
Q4) Online ________ is arguably the most commonly used data analysis technique in data warehouses.
Answer: analytical processing
Q5) Data ________ comprises data access,data federation,and change capture. Answer: integration
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Chapter 3: Business Reporting, visual Analytics, and Business Performance Management
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70 Verified Questions
70 Flashcards
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Sample Questions
Q1) When telling a story during a presentation,it is best to avoid describing hurdles that your character must overcome,to avoid souring the mood.
A)True
B)False
Answer: False
Q2) List five best practices of dashboard design.
Answer: .Benchmark key performance indicators with industry standards
.Wrap the dashboard metrics with contextual metadata
.Validate the dashboard design by a usability specialist
.Prioritize and rank alerts/exceptions streamed to the dashboard
.Enrich the dashboard with business users' comments
.Present information in three different levels
.Pick the right visual construct using dashboard design principles
.Provide for guided analytics
Q3) Performance dashboards enable ________ operations that allow the users to view underlying data sources and obtain more detail.
Answer: drill-down/drill-through
Q4) A strategically aligned metric is also known as a key ________.
Answer: performance indicator
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Chapter 4: Data Mining
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70 Flashcards
Source URL: https://quizplus.com/quiz/39025
Sample Questions
Q1) List and briefly describe the six steps of the CRISP-DM data mining process.
Q2) Describe the role of the <b>simple split</b> in estimating the accuracy of classification models.
Q3) Fayyad et al.(1996)defined ________ in databases as a process of using data mining methods to find useful information and patterns in the data.
Q4) In the Memphis Police Department case study,shortly after all precincts embraced Blue CRUSH,________ became one of the most potent weapons in the Memphis police department's crime-fighting arsenal.
Q5) What is the main reason parallel processing is sometimes used for data mining?
A) because the hardware exists in most organizations and it is available to use
B) because the most of the algorithms used for data mining require it
C) because of the massive data amounts and search efforts involved
D) because any strategic application requires parallel processing
Q6) When training a data mining model,the testing dataset is always larger than the training dataset.
A)True
B)False
Q7) List five reasons for the growing popularity of data mining in the business world.
Page 6
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Chapter 5: Text,web,and Social Analytics
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70 Flashcards
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Sample Questions
Q1) Natural language processing (NLP),a subfield of artificial intelligence and computational linguistics,is an important component of text mining.What is the definition of NLP?
Q2) Web pages contain both unstructured information and ________,which are connections to other Web pages.
Q3) ________ statistics help you understand whether your specific marketing objective for a Web page is being achieved.
Q4) 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.
Q5) Breaking up a Web page into its components to identify worthy words/terms and indexing them using a set of rules is called
A) preprocessing the documents.
B) document analysis.
C) creating the term-by-document matrix.
D) parsing the documents.
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Chapter 6: Big Data and Analytics
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Sample Questions
Q1) Current total storage capacity lags behind the digital information being generated in the world.
A)True
B)False
Q2) In the Luxottica case study,what technique did the company use to gain visibility into its customers?
A) visibility analytics
B) data integration
C) focus on growth
D) customer focus
Q3) Define MapReduce.
Q4) Many analytics tools are too complex for the average user,and this is one justification for Big Data.
A)True
B)False
Q5) The Big Data and Analysis in Politics case study makes it clear that the unpredictability of elections makes politics an unsuitable arena for Big Data.
A)True
B)False
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Chapter 7: Business Analytics: Emerging Trends and Future
Directions
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70 Verified Questions
70 Flashcards
Source URL: https://quizplus.com/quiz/39028
Sample Questions
Q1) Use of automated decision systems (ADSs)is likely to result in a reduction of middle management.
A)True
B)False
Q2) Content-based filtering obtains detailed information about item characteristics and restricts this process to a single user using information tags or
A) keywords.
B) passphrases.
C) key-pairs.
D) reality mining.
Q3) The basic premise behind social networking is that it gives people the power to share,making the world more open and connected.
A)True
B)False
Q4) Data and text mining is a promising application of AaaS.What additional capabilities can AaaS bring to the analytic world?
Q5) What is mobile social network and how does it extend the reach of popular social networks?
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