Business Analytics - Chapter 1: Introduction to Decision Making
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Questions and Answers

What is the last step in the decision-making process according to the text?

  • Evaluate the alternatives
  • Identify and define the problem
  • Choose an alternative (correct)
  • Determine the criteria for evaluating alternative solutions

Which category of analytics includes tools such as reports, data visualization, and descriptive statistics?

  • Descriptive analytics (correct)
  • Predictive analytics
  • Prescriptive analytics
  • Diagnostic analytics

What are two key factors that make decision making difficult according to the text?

  • Uncertainty and an overwhelming number of alternatives (correct)
  • Strategic decisions and operational decisions
  • Tactical decisions and prescriptive decisions
  • Descriptive analytics and predictive analytics

Which level of decision making is concerned with the overall direction of the business?

<p>Strategic decisions (B)</p> Signup and view all the answers

What do business analytics approaches assist in according to the text?

<p>Identifying and mitigating uncertainty (D)</p> Signup and view all the answers

Which category of analytics prescribes the best course of action from a very large number of alternatives?

<p>Prescriptive analytics (A)</p> Signup and view all the answers

What is the main difference between predictive and prescriptive analytics?

<p>Predictive analytics uses past data to predict future events, while prescriptive analytics uses data to determine a course of action. (C)</p> Signup and view all the answers

What are the characteristics of big data?

<p>Big data refers to any set of data that is too large or too complex to be handled by standard data-processing techniques or typical desktop software. (B)</p> Signup and view all the answers

What is the goal of business analytics?

<p>The goal of business analytics is to transform data into insight for making better decisions. (A)</p> Signup and view all the answers

What is the primary function of data scientists?

<p>Data scientists are trained in computer science and statistics to effectively process and analyze massive amounts of data. (A)</p> Signup and view all the answers

What is the purpose of Hadoop in the context of big data?

<p>Hadoop is an open-source programming environment that supports big data processing through distributed storage and processing on clusters of computers. (A)</p> Signup and view all the answers

What does the Internet of Things (IoT) technology enable?

<p>IoT technology allows data collected from sensors in machines to be sent over the Internet for storage and analysis. (D)</p> Signup and view all the answers

What does simulation optimization involve?

<p>Simulation optimization involves combining probability and statistics with optimization techniques to find good decisions in complex settings. (C)</p> Signup and view all the answers

What is the key focus of decision analysis?

<p>Decision analysis focuses on developing an optimal strategy when faced with several decision alternatives and an uncertain set of future events. (A)</p> Signup and view all the answers

What does utility theory study?

<p>Utility theory studies the total worth or relative desirability of a particular outcome that reflects the decision maker’s attitude toward factors such as profit, loss, and risk. (A)</p> Signup and view all the answers

What is the primary function of MapReduce within Hadoop?

<p>MapReduce divides the data into subsets and distributes it for storing and processing on clusters of computers. (A)</p> Signup and view all the answers

What makes a set of data 'big data'?

<p>A set of data is considered big if it is too large or too complex to be handled by standard data-processing techniques or typical desktop software. (B)</p> Signup and view all the answers

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