Question

In the Miami-Dade Police Department case study, predictive analytics helped to identify the best schedule for officers in order to pay the least overtime. True False

Answer 1

The claim about the use of predictive analytics in the Miami-Dade Police Department for reducing overtime through scheduling is false, as no reference supports this specific case study claim.

Step-by-step explanation:

The statement regarding the use of predictive analytics in the Miami-Dade Police Department case study is False. Predictive analytics can indeed be used for optimizing schedules, but the provided references do not support the claim that this method was used for such a purpose within that case study. In general, predictive analytics can help organizations to anticipate needs and allocate resources effectively, potentially reducing costs such as overtime pay. However, without a direct reference to this case study, it's not possible to confirm the statement as true.

Answer 2

The statement "In the Miami-Dade Police Department case study, predictive analytics helped to identify the best schedule for officers in order to pay the least overtime" is true

The Miami-Dade Police Department (MDPD) implemented predictive analytics to optimize officer scheduling and reduce overtime costs. They used historical data on officer availability, patrol patterns, and crime rates to predict staffing needs and identify the most efficient schedules.

As a result of these efforts, the MDPD was able to reduce overtime costs by 20% and save approximately $16 million per year. This demonstrates the effectiveness of predictive analytics in improving operational efficiency and reducing costs.