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Using Data to Predict, Prevent and Reduce Crime
Using Data to Predict, Prevent and Reduce Crime

This article is part three of a four-part series on intelligence and reporting tools
Part one | Part two | Part three

Data analysis plays an important role for public safety agencies as it can be used to help predict, reduce and prevent crimes. However, this is only possible when agencies possess the tools necessary to extract data from their public safety software system.

For example, if an agency needs to know how many tickets were issued in a specific week, a standard data analysis tool can generate a report with that information. This type of interaction is transactional in that it provides users with what they asked for, but it does not offer anything additional.

To obtain additional information, public safety agencies need to use an intelligence and analytical tool that can do more with the data.

A robust intelligence and analytical tool is going to look at tickets issued and instantly break them down by time of day, day of the week, the frequency in which tickets were issued, what locations in a jurisdiction received tickets, and the percentage of increase for each of those issues. This same tool will display this information in Microsoft Excel pivot tables so it is easily digestible by users.

With Excel pivot tables, users can extract any information they request, so long as it exists in the system. Information is then generated in real-time and creates a report in less than 30 seconds. Without this tool, the same process could take hours.

Having this capability to use actionable intelligence stored in a public safety agency's own system provides users with the ability to generate a plan of action to predict, reduce and prevent crime.

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