Exam 6: Decision Support Systems Working With Big Data
Exam 1: The Role of Marketing Research52 Questions
Exam 2: The Research Process and Ethical Concerns57 Questions
Exam 3: Problem Formulation42 Questions
Exam 4: Exploratory Research48 Questions
Exam 5: Decision Support Systems56 Questions
Exam 6: Decision Support Systems Working With Big Data55 Questions
Exam 7: Using External Secondary Data46 Questions
Exam 8: Conducting Causal Research70 Questions
Exam 9: Collecting Descriptive Primary Data52 Questions
Exam 10: Collecting Data by Observation68 Questions
Exam 11: Collecting Data by Communication64 Questions
Exam 12: Asking Good Questions82 Questions
Exam 13: Designing the Data Collection Form82 Questions
Exam 14: Developing the Sampling Plan87 Questions
Exam 15: Data Collection Enhancing Response Rates While Limiting Errors88 Questions
Exam 16: Data Preparation for Analysis45 Questions
Exam 17: Analysis and Interpretation Individual Variables Independently69 Questions
Exam 18: Analysis and Interpretation Multiple Variables Simultaneously81 Questions
Exam 19: The Oral Research Presentation39 Questions
Exam 20: The Written Research Report46 Questions
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One way of understanding structured data is as filling rows of data on a spreadsheet.
(True/False)
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Social network analysis studies social connections where the leader in a network is a______________and the multiple followers are nodes on the______________.
(Short Answer)
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Data in one context that is linked to data in another context, and another and another, such as Apple does to get a 360-degree view of customer purchasing is an example of______________-______________data.
(Short Answer)
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Recognizing patterns, such as identifying fraudulent insurance claims made by otherwise consistent policyholders, is an example of which kind of descriptive analysis technique?
(Multiple Choice)
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Data mining is a descriptive analysis technique used for finding nonlinear patterns in the data
(True/False)
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Even if all data integration issues are addressed, the problem that remains for most companies when it comes to integrated data is:
(Multiple Choice)
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A major restaurant chain wishes to understand consumer sentiment about its brand, so it analyzes social media comments, receipt survey data, call center conversation summaries from its CRM system and even reviews from websites like Urban Spoon. This illustrates which dimension of Big Data?
(Multiple Choice)
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The analysis that Major League Baseball uses to create its schedule each year, to optimize stadium commitments, travel, hotel, sponsorships and other factors, is an example of:
(Multiple Choice)
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Data such as transactional data collected by banks, airlines and retailers is known as______________data.
(Multiple Choice)
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Which of the following is NOT considered a descriptive analysis technique?
(Multiple Choice)
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The analysis technique to consider when searching for nonlinear patterns in data is:
(Multiple Choice)
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Which of the following does NOT represent the purpose of Big Data or what it is all about?
(Multiple Choice)
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Starbucks creating over 800 "geofences" in the UK to send geotargeted text messages to customers is an example of using of mobile data.
(Short Answer)
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Creating charts, graphs, images, diagrams and even word clouds that allow for better communication of data is an example of:
(Multiple Choice)
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The descriptive analysis technique whose goal is to integrate and analyze data from various sources as opposed to relying on only a single source is known as:
(Multiple Choice)
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Taking multiple, random samples from an existing data set and running thousands of "what if" analyses, each with different assumptions about market conditions and other marketplace dynamics is an example of which of the following?
(Multiple Choice)
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The auto insurance company that uses an App to monitor your driving behavior, collecting thousands of data points in the process, as part of providing you a policy quote illustrates which dimension of Big Data?
(Multiple Choice)
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