Fire Department Turns to BI Analytics. New York City has nearly one million buildings, and each year, more than 3000 of them experience a major fire. The Fire Department of the City of New York (FDNY) is adding BI analytics to its arsenal of firefighting equipment. It has created a database of over 60 different factors (e. g., building location, age of the building, whether it has electrical issues, the number, and location of sprinklers) in an attempt to determine which buildings are more likely to have a fire than others. The values of these parameters for each building are fed into a BI analytics system that assigns each of the city's 330,000 inspectable buildings a risk score. (FDNY doesn't inspect single and two-family homes.) Building inspectors then use these risk scores to prioritize which buildings to visit on their weekly inspections. The FDNY has roughly 350 inspectors who are trained and certified to perform their duties.
Which set of three parameters all provides measures useful in determining which buildings are more likely to have a fire than others?
a. Year the building was constructed, the number of building occupants, and primary materials used in the construction of the building
b. Primary materials used in the construction of the building, the assessed value for property taxes, and distance from the nearest fire station
c. Distance from the nearest fire hydrant, whether or not the building has an elevator, and the number of stories in the building
d. The amount the building is insured for, distance from the nearest fire hydrant, and primary building materials used in the construction of the building