Using data to predict events is an example of predictive analytics.
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Q19: Allowing users to dive deeper into the
Q20: The goal of data mining related to
Q21: Smartphones can produce millions of observations per
Q22: Many developing countries are using advanced applications
Q23: The applications of analytics are not just
Q25: Human intervention is an important part of
Q26: Descriptive analytics answers the question: "What happened
Q27: Customers leave clues about their preferences when
Q28: Predictive analytics answers the question: "How can
Q29: Analytics are typically divided into three major
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