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Supporting the Optimization of Temporal Key Performance Indicators of Italian Courts of Justice with OLAP Techniques

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Book cover Complex, Intelligent and Software Intensive Systems (CISIS 2021)

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Abstract

Following the complete digitalization of Civil Trials, started in 2014, the Italian Ministry of Justice has pushed towards the identification of metrics and Key Performance Indicators (KPIs) that, in conjunction with already existing measures adopted at European level, could help Judges and Court Presidents in particular to assess the health status of their own Court. However, such KPIs are not to be only considered as a quantitative expression of the work performed by Courts and their personnel, but also as precious indicators of how actions taken by Presidents can affect the overall performances of the Courts they manage, thus providing a solid base for future management decisions. Several aspects can be taken in consideration, as different actors concur in the definition of Trials. In this paper a series of KPIs, defined together with experts in the domain of Legal Processes and Courts’ management, are presented together with an Online tool that, acquiring information directly from the Courts’ digital databases regarding Processes and inherent workflows and documentations, allow for a graphical visualization of a Court’s status.

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Acknowledgements

The study described in this work was performed and co-funded as a part of the research activities of the Applied Research Project “Big data Giustizia e Datawarehouse” promoted by the Italian Ministry of Justice and realized by Consorzio Interuniversitario Nazionale per l’Informatica (CINI).

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Correspondence to Antonio Esposito .

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Di Martino, B., Colucci Cante, L., Esposito, A., Lupi, P., Orlando, M. (2021). Supporting the Optimization of Temporal Key Performance Indicators of Italian Courts of Justice with OLAP Techniques. In: Barolli, L., Yim, K., Enokido, T. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2021. Lecture Notes in Networks and Systems, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-030-79725-6_65

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