Exam 4: Secondary Data and Databases

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Data mining facilitates customer acquisition by discovering purchasing patterns such that customized offerings can be made to prospects.

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Statistical techniques are often utilized in data mining.

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Which of the following actions would help safeguard your online activity?

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A market researcher was negotiating with a client concerning the best way to accomplish the client's objectives.The researcher discovered a study,which had some circumstances similar to that of the present client.Which of the following best describes what happened?

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Which of the following is a computer program that mimics the processes of the human brain and thus is capable of learning from examples to find patterns in data?

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Which of the following would be the least reliable source of secondary data? Data compiled by_______.

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There is sometimes a conflict between a company's database marketing practices and the consumer's privacy.

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Describe a situation in which a geographic information could be used along with secondary data.

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All of the following are advantages of secondary data except:

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Which of the following is not characteristic of secondary data?

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A marketing researcher wants to know what percentage of consumers would purchase a car that has not yet been produced.She would likely have a hard time finding secondary data to address this due to __________.

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Describe how social media has had an effect on behavioral targeting.

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Which of the following is a characteristic of a decision support system (DSS)?

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Explain the paradigm shift in research as a result of big data analytics.

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Big data researchers have insights into all the individual,all the products,all the parts,all the events,and all the transactions.

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Big data analytics takes into account all the data,structured and unstructured,to understand the complex,evolving,and interrelated conditions to produce more accurate insights.

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Which of the following would not be part of a database that would be ripe for data mining?

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Until recently,complex computer programs,such as programs for big data analysis,needed to run on expensive hardware,such as enormous mainframe computers.

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Most relationships explored in data mining are intuitively obvious.

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Suppose a market researcher was consulting several sources of information about the best location for a high-end furniture store,and found the following: Percent of Luxury Purchases 2013 2014 City Census of Retailing Chamber of Commerce Metropolis 5% 12% Smallville 7% 17% Gotham City 4% 10% The Chamber studies were more recent,but how reliable is this new information? Why should the researcher question the numbers in the Chamber studies?

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