How can analytics support objective decision making

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Reference no: EM133257076

Question 1: - Define analytics.

Question 2: How can analytics support objective decision making?

Question 3: How can computer software assist overcome the cognitive limits of humans?

Question 4: Compare and contrast with examples of descriptive analytics with predictive and Prescriptive analytics.

Question 5: Why would health insurance companies invest in analytics outside fraud detection? Give examples of how analytics can help these companies to quantify the risk of a positional type of injury.

Question 6: Find at least three other occasions for applying analytics in the retail value chain other than those covered in this week lecture.

Question 7: List some of the retail stores that you know which use some of the analytics applications that we discussed in this lecture?

Question 8: What is Big Data analytics?

Question 9: What are the sources of Big Data?

Question 10: What are the characteristics of Big Data?

Reference no: EM133257076

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