Exam 15: The Data Asset: Databases, Business Intelligence, Analytics, Big Data, and Competitive Advantage
Exam 1: Setting the Stage: Technology and the Modern Enterprise56 Questions
Exam 2: Strategy and Technology: Concepts and Frameworks for Understanding What Separates Winners From Losers79 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 Bits89 Questions
Exam 5: Moores Law and More: Fast, Cheap Computing and What This Means for the Manager71 Questions
Exam 6: Disruptive Technologies: Understanding the Giant Killers and Considerations for Avoiding Extinction34 Questions
Exam 7: Amazoncom: an Empire Stretching From Cardboard Box to Kindle to Cloud85 Questions
Exam 8: Understanding Network Effects: Strategies for Competing in a Platform-Centric, Winner-Take-All World73 Questions
Exam 9: Social Media, Peer Production, and Web 2.0106 Questions
Exam 10: The Sharing Economy, Collaborative Consumption, and Creating More Efficient Markets Through Technology32 Questions
Exam 11: Facebook: a Billion-Plus Users, the High-Stakes Move to Mobile, and Big Business From the Social Graph91 Questions
Exam 12: Rent the Runway: Entrepreneurs Expanding an Industry by Blending Tech with Fashion41 Questions
Exam 13: Understanding Software: a Primer for Managers75 Questions
Exam 14: Software in Flux: Open Source, Cloud, Vittualized and App-Driven Shifts80 Questions
Exam 15: The Data Asset: Databases, Business Intelligence, Analytics, Big Data, and Competitive Advantage92 Questions
Exam 16: A Managers Guide to the Internet and Telecommunications64 Questions
Exam 17: Information Security: Barbarians at the Gateway and Just About Everywhere Else89 Questions
Exam 18: Google in Three Parts: Search, Online Advertising, and an Alphabet of Opportunity134 Questions
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In database systems, a _____ defines the data that a table can hold.
(Multiple Choice)
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Enterprise software tends to be less integrated and standardized than the prior era of proprietary systems that many firms developed themselves.
(True/False)
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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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Logistics is the term that describes the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.
(True/False)
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In many organizations, the majority of available data is not exploited to advantage.
(True/False)
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_____ refer to older information systems that are often incompatible with other systems, technologies, and ways of conducting business.
(Multiple Choice)
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Firms that base decisions on hunches are said to be gambling, not managing.
(True/False)
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_____ are model building techniques where computers examine many potential solutions to a problem, iteratively modifying various mathematical models, and comparing the mutated models to search for a best alternative.
(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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How are increasingly standardized data, access to third-party datasets, cheap, fast computing, and easier-to-use software collectively enabling a new age of decision making?
(Essay)
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Most transactional databases are not set up to be simultaneously accessed for reporting and analysis. As a consequence:
(Multiple Choice)
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It's believed that medical errors are the _____ leading cause of death in the United States.
(Short Answer)
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What are data warehouses and data marts? What is their significance in terms of data organization?
(Essay)
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_____ is the general term used to describe the massive amount of data available to today's managers.
(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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Advantages based on capabilities and data that others can acquire are long-lived.
(True/False)
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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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