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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_____ is a method of querying and reporting that takes data from standard relational databases, calculates and summarizes the data, and then stores the data in a special database called a data cube.
Free
(Multiple Choice)
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Correct Answer:
D
_____ refers to the ratio of a company's annual sales to its inventory.
Free
(Short Answer)
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Inventory turnover ratio
The category of AI technology used by Google to recognize patterns to improve speech recognition is known as ______________.
Free
(Short Answer)
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Correct Answer:
Neural Networks
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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What is Wal-Mart's motivation for sharing data with its supply partners?
(Multiple Choice)
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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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Systems that can absorb any type of data, structured or not, from any type of source are often called schema-less.
(True/False)
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Wal-Mart supplements its huge data assets with additional data provided by information brokers like Information Resources and ACNielsen.
(True/False)
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Addressing the data system housing, hardware and networking requirements is known as ____________.
(Essay)
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_____ is the term used to describe some form of business exchange.
(Short Answer)
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While spreadsheets are popular tools, they cannot effectively be used for "what-if" analysis.
(True/False)
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_______________ refers to type of artificial intelligence that leverages massive amounts of data so that computers can improve the accuracy of actions and predictions on their own without additional programming
(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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Any data-centric effort should involve input not only from business and technical staff, but from the firm's legal team, as well.
(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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Firms that base decisions on hunches are said to be gambling, not managing.
(True/False)
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