5.1 The end of this chapter suggests that data analytics are not always appropriate for a decision context. Identify three unique business situations for which data analytics may not be appropriate. Identify why data analytics are not appropriate in these situations and how a decision maker should make their decision without using data. 5.2 For each of the following examples, indicate whether the data is structured, semi- structured, or unstructured or a mix of each. Explain your answer. 1. A company runs many social media campaigns to increase sales. The company collects data about the amount spent on each add campaign, the number of people who click on each add, whether each person clicking on an add completed a purchase, and the location (city and country) of each person who clicked on an ad. 2. A company performs performance evaluations of all its employees each quarter. The evaluations include comments made by peers of each of employee, a supervisor's write-up of performance during the quarter with a rating on a 5-point scale, and performance metrics relative to their job title (e-g., sales completed for sales people, units repaired for repair people, etc.). 3. A call center records all phone calls between employees and customers. The company stores the data so that they can review it if any allegations are made of inappropriate employee behavior. 4. A company scrapes data from a review website where customers can write-in about products they have purchased. The company analyzes each of the reviews but only records the number of words in the review, a rating of the tone of the review (scores from-3 to +3), and the number of stars given (1 to 4). 5. A university tracks all of the classes that students sign up for each semester. The university records the course number, class description, and course credit hours for each student 6. A mechanic keeps a digital catalog of all of the part numbers and part descriptions for each type of vehicle that the company services. 7. A non-profit organization keeps a list of all donors who have given to their organization in the past. The organization tracks names, dates of donations, amount donated, and additional comments about the donor and their donation. 8. An online retailer tracks all of the IP addresses of every web visit. The retailer monitors IP addresses to see if visits are coming from IP addresses that are known to hack company websites