Crime analysis process refers to a series of procedures that include data collection, collation, and analysis of the collected information. Additionally, the process involves dissemination of the results obtained and the process of incorporating feedback that is received from different sources during data collection. The crime analysis process capitalizes on the observation of data, which is a crucial aspect of collecting appropriate and relevant information (Ying, 2016). Considering that crime analysis is a continuous process, it experiences changes and keeps evolving in a bid to improve the entire operations and enhance the results obtained. In that case, the analysis capitalizes on the implementation of different approaches that help in changing the methods of data collection and storage based on the process mentioned above. Based on the fact that crime analysts face a wide range of issues when dealing with the process of data collection, the implementation of changes and new approaches in the data collection process helps in overcoming the given challenges.
In the crime analysis process, secondary data entails the data that has been previously collected and stored in databases. The secondary data may involve a wide range of information that may include crime reports, reports from accident scenes, reports of arrests among other crucial and relevant information, which may help in addressing various elements concerning the analysis of a wide range of crimes. Considering that such information is not always collected for the crime analysis, it is, therefore, necessary for the crime analysts to implement measures that would refine and critically analyze the information before use. The storage of secondary data may be in different formats considering that the information was not collected to fulfil a specific purpose. On the other hand, primary data in the crime analysis process involves information that has been collected to fulfil a specific purpose of crime analysis. The collection of primary data, in this case, implements the use of procedures that include observations, public surveys, field research, and interviews among other techniques that may help in obtaining firsthand information regarding a given issue. The purpose of the primary data entails getting specific information for a particular issue, which is an aspect that capitalizes on enhancing the reliability of the gathered information. The primary data helps in providing an excellent foundation for the crime analysis process, considering that the techniques allow the provision of specific answers to questions that involve a given crime. The use of primary data in the crime analysis process acts as a backup for the secondary data considering that it helps in creating additional support. Considering that the “Broken windows" theory of policing focuses on the enforcement of strict laws against the minor offences, it identifies with the crime analysis processes. The theory capitalizes on the ideology that small crimes often go unnoticed, just like a broken window where people don't seem to care (Jenkins, 2016). In that case, the theory maintains that policing the given small crimes may help in reducing criminal activities, considering that the crime analysis may engage in identifying the minor crimes effectively. With the implementation of crime analysis processes, the analysts can gather data regarding the areas that face high prevalence on the crime issue thus creating a platform for the implementation of measures to reduce the given crimes. In that case, the crime analysis process helps in enhancing the effectiveness of the "broken windows" theory of policing through the identification of small crimes that often go unnoticed.
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References
Jenkins, M. J. (2016). Police support for community problem-solving and broken windows policing. American journal of criminal justice , 41 (2), 220-235.
Ying, Z. (2016, August). Analysis of Crime Factors Correlation Based on Data Mining Technology. In 2016 International Conference on Robots & Intelligent System (ICRIS) (pp. 103-106). IEEE.
