The method of driven policing might be considered a business model where algorithms, analysis of statistics, and computer models are used to work harder and smarter.

The method you're referring to is known as data-driven policing. This approach is often likened to a business model due to its reliance on data analysis and algorithms, similar to how businesses use these tools to optimize their operations. Here's a step-by-step breakdown of how it works:

1. Collection of Data: This is the first step where law enforcement agencies gather data from various sources. This could include crime reports, calls for service, or any other relevant information.

2. Analysis: The collected data is then analyzed using algorithms and statistical models. This analysis can help identify patterns, trends, and hotspots of criminal activity.

3. Decision Making: Based on the analysis, decisions are made on where to deploy resources. For example, if a particular area is identified as a hotspot for burglaries, more police patrols might be assigned to that area.

4. Action: The decisions are then implemented. This could involve increased patrols in certain areas, targeted enforcement efforts, or other strategies designed to prevent or reduce crime.

5. Evaluation: Finally, the effectiveness of these actions is evaluated. This could involve analyzing crime rates to see if they've decreased in the targeted areas. The results of this evaluation can then be used to further refine and improve the policing strategy.

In essence, data-driven policing aims to use data and technology to work smarter, not harder, by ensuring that resources are being used as effectively and efficiently as possible.