Which one of the following issues is the most significant barrier to the expansion of and further investment in this program?   a. Demonstrating that a BI analytics system was the reason behind a decrease in fires would be difficult because it involves proving that a decrease in the number of fires can be attributed to the use of the analytics system rather than other factors.     b. Buildings are constantly being torn down and new ones constructed. Existing buildings are constantly being renovated and remodeled. Thus, the likelihood of an individual building catching fire can vary greatly over time, without the FDNY being aware of the change in its status. The BI analytics system simply cannot handle this variation.     c. Fire inspectors may not consistently evaluate a building using the key parameters of the system. As a result, a building may get a good score on one inspection and a bad score on its next inspection—even if nothing about the building has changed. The quality of the input data for the various parameters that describe a building is just too inconsistent.     d. FDNY has not yet established a self-service analytics program, so individual fire inspectors are not able to view and analyze the building data.

Principles of Information Systems (MindTap Course List)
13th Edition
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Ralph Stair, George Reynolds
Chapter9: Business Intelligence And Analytics
Section: Chapter Questions
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Which one of the following issues is the most significant barrier to the expansion of and further investment in this program?
  a. Demonstrating that a BI analytics system was the reason behind a decrease in fires would be difficult because it involves proving that a decrease in the number of fires can be attributed to the use of the analytics system rather than other factors.  
  b. Buildings are constantly being torn down and new ones constructed. Existing buildings are constantly being renovated and remodeled. Thus, the likelihood of an individual building catching fire can vary greatly over time, without the FDNY being aware of the change in its status. The BI analytics system simply cannot handle this variation.  
  c. Fire inspectors may not consistently evaluate a building using the key parameters of the system. As a result, a building may get a good score on one inspection and a bad score on its next inspection—even if nothing about the building has changed. The quality of the input data for the various parameters that describe a building is just too inconsistent.  
  d. FDNY has not yet established a self-service analytics program, so individual fire inspectors are not able to view and analyze the building data.  
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