Data-Driven Decision Making
Final Exam Questions
Course Introduction
Data-Driven Decision Making explores how organizations leverage data analytics to inform and optimize business decisions. The course covers fundamental concepts in data collection, analysis, and visualization, emphasizing the interpretation of data to address real-world problems. Students learn to use contemporary tools and methodologies to transform raw data into actionable insights, understand patterns and trends, and support strategic choices. Case studies and practical projects offer hands-on experience in applying analytic techniques to drive evidence-based decisions across various functional areas, preparing students for data-centric roles in a rapidly evolving business environment.
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
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Sample Questions
Q1) The fraud ________ analytic application helps determine fraudulent events and take action.
Answer: detection
Q2) Organizations using BI systems are typically seeking to ________ the gap between the organization's current and desired performance.
Answer: close
Q3) ________ analytics help managers make decisions to achieve the best performance in the future.
Answer: Prescriptive
Q4) As the number of potential BI applications increases,the need to justify and prioritize them arises.This is not an easy task due to the large number of ________ benefits.
Answer: intangible
Q5) Traditional BI systems use a large volume of static data that has been extracted,cleansed,and loaded into a data warehouse to produce reports and analyses.
A)True
B)False
Answer: True
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Page 3
Chapter 2: Data Warehousing
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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) Online ________ is a term used for a transaction system that is primarily responsible for capturing and storing data related to day-to-day business functions such as ERP,CRM,SCM,and point of sale.
Answer: transaction processing
Q3) Which of the following BEST enables a data warehouse to handle complex queries and scale up to handle many more requests?
A) use of the web by users as a front-end
B) parallel processing
C) Microsoft Windows
D) a larger IT staff
Answer: B
Q4) 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) There are basic chart types and specialized chart types.A Gantt chart is a specialized chart type.
A)True
B)False
Answer: True
Q2) The ________ perspective of the organization suggested by the balanced scorecard focuses on business processes and how well they are running.
Answer: internal business process
Q3) What is Six Sigma?
A) a letter in the Greek alphabet that statisticians use to measure process variability
B) a methodology aimed at reducing the number of defects in a business process
C) a methodology aimed at reducing the amount of variability in a business process
D) a methodology aimed at measuring the amount of variability in a business process
Answer: B
Q4) A strategically aligned metric is also known as a key ________.
Answer: performance indicator
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Page 5
Chapter 4: Data Mining
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70 Flashcards
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Sample Questions
Q1) In the opening vignette,Cabela's uses SAS data mining tools to create ________ models to optimize customer selection for all customer contacts.
Q2) Interval data is a type of numerical data.
A)True
B)False
Q3) Using data mining on data about imports and exports can help to detect tax avoidance and money laundering.
A)True
B)False
Q4) Fayyad et al.(1996)defined ________ in databases as a process of using data mining methods to find useful information and patterns in the data.
Q5) One way to accomplish privacy and protection of individuals' rights when data mining is by ________ of the customer records prior to applying data mining applications,so that the records cannot be traced to an individual.
Q6) Describe <b>cluster analysis</b> and some of its applications.
Q7) Briefly describe five techniques (or algorithms)that are used for classification modeling.
Q8) List six common data mining mistakes.
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) How is objectivity handled in sentiment analysis?
A) It is ignored because it does not appear in customer sentiment.
B) It is incorporated as a type of sentiment.
C) It is clarified with the customer who expressed it.
D) It is identified and removed as facts are not sentiment.
Q2) Descriptive analytics for social media feature such items as your followers as well as the content in online conversations that help you to identify themes and sentiments.
A)True
B)False
Q3) 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
Q4) Because the term-document matrix is often very large and rather sparse,an important optimization step is to reduce the ________ of the matrix.
Q5) A ________ Web site contains links that send traffic directly to your Web site.
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Chapter 6: Big Data and Analytics
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Sample Questions
Q1) The term "Big Data" is relative as it depends on the size of the using organization.
A)True
B)False
Q2) List and describe the three main "V"s that characterize Big Data.
Q3) Despite their potential,many current NoSQL tools lack mature management and monitoring tools.
A)True
B)False
Q4) What is the Hadoop Distributed File System (HDFS)designed to handle?
A) unstructured and semistructured relational data
B) unstructured and semistructured non-relational data
C) structured and semistructured relational data
D) structured and semistructured non-relational data
Q5) Big Data uses commodity hardware,which is expensive,specialized hardware that is custom built for a client or application.
A)True
B)False
Q6) List and describe four of the most critical success factors for Big Data analytics.
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Chapter 7: Business Analytics: Emerging Trends and Future
Directions
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Sample Questions
Q1) When new analytics applications are introduced and affect multiple related processes and departments,the organization is best served by utilizing
A) business flow management.
B) multi-department analysis.
C) process flow analysis.
D) business process reengineering.
Q2) What are recommender systems,how are they developed,and how is the data used to build a recommendation system obtained?
Q3) 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
Q4) Content-based filtering approaches are widely used in recommending textual content such as news items and related Web pages.
A)True
B)False
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