Exam 15: The Data Asset: Databases, Business Intelligence, Analytics, Big Data, and Competitive Advantage
Exam 1: Setting the Stage: Technology and the Modern Enterprise60 Questions
Exam 2: Strategy and Technology: Concepts and Frameworks for Understanding What Separates Winners From Losers78 Questions
Exam 3: Zara: Fast Fashion From Savvy Systems68 Questions
Exam 4: Netflix in Two Acts: the Making of an E-Commerce Giant and the Uncertain Future of Atoms to Bits96 Questions
Exam 5: Moores Law and More: Fast, Cheap Computing and What This Means for the Manager79 Questions
Exam 6: Disruptive Technologies: Understanding the Giant Killers and Considerations for Avoiding Extinction36 Questions
Exam 7: Amazoncom: an Empire Stretching From Cardboard Box to Kindle to Cloud91 Questions
Exam 8: Understanding Network Effects: Strategies for Competing in a Platform-Centric, Winner-Take-All World76 Questions
Exam 9: Social Media, Peer Production, and Web 2.0110 Questions
Exam 10: The Sharing Economy, Collaborative Consumption, and Creating More Efficient Markets Through Technology41 Questions
Exam 11: Facebook: a Billion-Plus Users, the High-Stakes Move to Mobile, and Big Business From the Social Graph101 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 6.050 Questions
Exam 13: Understanding Software: a Primer for Managers75 Questions
Exam 14: Software in Flux: Open Source, Cloud, Vittualized and App-Driven Shifts83 Questions
Exam 15: The Data Asset: Databases, Business Intelligence, Analytics, Big Data, and Competitive Advantage96 Questions
Exam 16: A Managers Guide to the Internet and Telecommunications81 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 an Alphabet of Opportunity135 Questions
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It can be said; many organizations are data rich but information abundant.
(True/False)
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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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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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_____ refer to databases focused on addressing the concerns of a specific problem or business unit.
(Multiple Choice)
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A _____ is a system that provides rewards and usage incentives, typically in exchange for a method that provides a more detailed tracking and recording of consumer activity.
(Multiple Choice)
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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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Data are raw facts that must be turned into information in order to be useful and valuable.
(True/False)
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In some instances, firms supplement operational data with additional input from _____and_________.
(Essay)
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An integrated shopping experience and unified customer view across channels is sometimes referred to as _______________.
(Essay)
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Why do many organizations have data that cannot be converted to actionable information? What are the hurdles faced by firms that attempt to query transactional databases?
(Essay)
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_____ is a class of computer software that seeks to reproduce or mimic human thought, decision making, or brain functions.
(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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_____ put(s) users in control so that they can create custom reports on an as-needed basis by selecting fields, ranges, summary conditions, and other parameters.
(Multiple Choice)
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Walmart uses_____ technology to sift through massive amounts of social media data.
(Short Answer)
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_____ systems are often used to empower employees to track and record data at nearly every point of customer contact.
(Short Answer)
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What is data mining? What are the key areas where businesses are leveraging data mining?
(Essay)
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Which of the following conditions is essential for data mining to work?
(Multiple Choice)
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