Exam 15: The Data Asset: Databases, Business Intelligence, Analytics, Big Data, and Competitive Advantage
Exam 1: Setting the Stage: Technology and the Modern Enterprise54 Questions
Exam 2: Strategy and Technology: Concepts and Frameworks for Understanding What Separates Winners From Losers72 Questions
Exam 3: Zara: Fast Fashion From Savvy Systems65 Questions
Exam 4: Netflix in Two Acts: the Making of an E-Commerce Giant and the Uncertain Future of Atoms to Bits86 Questions
Exam 5: Moores Law and More: Fast, Cheap Computing and What This Means for the Manager70 Questions
Exam 6: Disruptive Technologies: Understanding the Giant Killers and Considerations for Avoiding Extinction28 Questions
Exam 7: Amazoncom: an Empire Stretching From Cardboard Box to Kindle to Cloud81 Questions
Exam 8: Understanding Network Effects: Strategies for Competing in a Platform-Centric, Winner-Take-All World69 Questions
Exam 9: Social Media, Peer Production, and Web 2.0104 Questions
Exam 10: The Sharing Economy, Collaborative Consumption, and Creating More Efficient Markets Through Technology30 Questions
Exam 11: Facebook: Building a Business From the Social Graph88 Questions
Exam 12: Rent the Runway: Entrepreneurs Expanding an Industry by Blending Tech With Fashion, John Gallaugher - Information Systems: a Managers Guide to Harnessing Technology, Version 4038 Questions
Exam 13: Understanding Software: a Primer for Managers76 Questions
Exam 14: Software in Flux: Partly Cloudy and Sometimes Free79 Questions
Exam 15: The Data Asset: Databases, Business Intelligence, Analytics, Big Data, and Competitive Advantage91 Questions
Exam 16: A Managers Guide to the Internet and Telecommunications79 Questions
Exam 17: Information Security: Barbarians at the Gateway and Just About Everywhere Else87 Questions
Exam 18: Google in Three Parts: Search, Online Advertising, and Beyond132 Questions
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Random occurrences in data mining results can be detected by dividing the data and building a model with one portion and using another portion to verify the results.
(True/False)
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_____ is the term used to describe some form of business exchange.
(Short Answer)
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Data mining is leveraged by some firms to determine which products customers buy together, and how an organization can use this information to cross-sell more products or services. This area of application of data mining is referred to as:
(Multiple Choice)
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A(n) _____ refers to a heads-up display of critical indicators that allow managers to get a graphical glance at key performance metrics.
(Multiple Choice)
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A(n) _____ is an AI system that examines data and hunts down and exposes patterns, in order to build models to exploit findings.
(Multiple Choice)
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_____ is the general term used to describe the massive amount of data available to today's managers.
(Short Answer)
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The acronym_____ refers to a technology that is often used to tag objects and inventory items so that they can 'announce their presence' as they make their way along an organization's value chain.
(Short Answer)
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Having too much inventory or insufficient inventory is known as a retailer's "twin nightmares."
(True/False)
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What is Wal-Mart's motivation for sharing data with its supply partners?
(Multiple Choice)
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What are the issues to be addressed in order to design, develop, deploy, and maintain data warehouses and data marts?
(Essay)
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Conventional database technologies often choke when trying to sift through the massive amounts of data collected by many of today's firms, leading to the rise of Hadoop and other "Big Data" technologies.
(True/False)
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Data can potentially be used as a strategic asset, capable of yielding sustainable competitive advantage. Which of the items below is not a characteristic of a potentially strategic asset?
(Multiple Choice)
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How is The EchoNest (part of Spotify) leveraging big data for a better music experience?
(Essay)
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The San Francisco Giants leverage business analytics to price game tickets. What factors are considered? What are the risks associated with allowing prices to fluctuate?
(Essay)
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What is data mining? What are the key areas where businesses are leveraging data mining?
(Essay)
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_____ is by far the most popular language for creating and manipulating databases.
(Multiple Choice)
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