Data Mining as Part of Intelligence-Led Policing in the Finnish Police

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Author(s): Arla Juntunen (University of Helsinki, Finland)
Copyright: 2009
Pages: 14
Source title: Social and Political Implications of Data Mining: Knowledge Management in E-Government
Source Author(s)/Editor(s): Hakikur Rahman (University of Minho, Portugal)
DOI: 10.4018/978-1-60566-230-5.ch009

Keywords: Data Mining / Electronic Government / Information Science Reference / Library & Information Science

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Abstract

The field of knowledge management has emerged in response to organizational needs to capture and manage what they know. This chapter discusses how a public sector organization made an effort to enhance their collaborative processes and organizational knowledge base in a specific functional area and how they implemented KM-tools to improve knowledge and information sharing and transferal both within the organization and between partners. The main expectations for the information management included the specific knowledge of its own area as well as core competencies created and systematically developed around its own areas of expertise. The implementation of KM-tools in the crime analysis function as part of intelligence-led policing assisted in preventing more crimes and creating safer communities. Decision-making in the police changed gradually from just analyzing and following past events to predicting and preventing crimes. The use and recognition of the benefits of KM-tools also facilitated the development of continuing learning and education in all the levels and in all the fields and locations of the organization. This chapter aims to promote knowledge management and KM-tools usage in government and to identify the challenges and benefits gained by an implementation of analytical solutions. It describes the managerial and organizational implications of the usage of analytical solutions and the effects on political decision-making and government programs.

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Data Mining as Part of Intelligence-Led Policing in the Finnish Police

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