For each of the following scenarios, state whether descriptive, predictive, or prescriptive analytics tools would most likely be used.

a. An insurance firm wants to analyze fraudulent claims to predict their future losses.

b. A store manager has to review a store’s historical operations, sales, financials, and customer reports to improve the store’s business.

c. The Met Office would like to forecast weather for nine to 10 days more accurately than the 24-hour forecasts, compared to the forecasting done 40 years ago.

d. Autonomous or self-driving car programmers have to make millions of calculations for each trip to determine directions and speed.

e. A secretary needs to summarize past events such as regional sales, customer attrition, and success of marketing campaigns for her manager to understand their company’s progression.

f. A fuel producer wants to identify the factors affecting the price of oil and gas to get the best terms and hedge risks.

g. A mechanical engineer needs to predict the failure rate of the equipment in the next 6 months to help reduce maintenance costs and improve power availability.

h. A travel agency is setting the price of their travel packages to attract more customers and wants to know the trends in popular travel destinations.