Good investigative practice should embody a consistent methodology. This methodology should emphasise accountability, standardized processes, and information sharing between investigations and agencies. It should also make use of appropriate tools to organise, manage, retrieve and analyse potentially large volumes of investigative data. However, an investigative methodology alone won’t ensure that evidence is processed in a timely fashion. With greater amounts of data being available to investigators through public sources and data sharing initiatives, and improvements being made to data capture/entry facilities, bottlenecks may occur in the review of investigative data, potentially jeopardizing a successful outcome. Technologies such as text analysis, entity matching and resolution, and network analysis can be inserted into the investigative workflow to speed data processing, prioritise tasks, and facilitate search and analysis.
- Criminal Investigation
- Investigative Team
- Free Text Search
- Entity Match
- Prioritise Task
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your institution.
Tax calculation will be finalised at checkout
Purchases are for personal use onlyLearn about institutional subscriptions
Unable to display preview. Download preview PDF.
Editors and Affiliations
© 2011 Springer-Verlag London Limited
About this chapter
Cite this chapter
Mann, G. (2011). Data Management Techniques for Criminal Investigations. In: Akhgar, B., Yates, S. (eds) Intelligence Management. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-2140-4_6
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2139-8
Online ISBN: 978-1-4471-2140-4