Policy Analytics: An Agenda for Research and Practice

In recent years the field of decision analysis has been heavily influenced by the "analytics'' perspective, which integrates advanced data-mining and learning methods, often associated with increasing access to "Big-Data", with decision support systems. This rapidly growing and very successful field of Analytics has been strongly business-oriented since its origin and is typically focussed on data-driven decision processes. In public decisions, however, issues such as individual and social values, culture and public engagement play a much bigger role and, to a large extent, characterise the policy cycle of design, testing, implementation, evaluation and review. From this perspective public policy making seems to be a much more socially complex process than has hitherto been considered by most analytics methods and applications. In this paper we thus suggest a framework for the use of analytics in supporting the policy cycle - and conceptualise it as "Business Analytics".

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Source https://hal.science/hal-00874307
Author Tsoukiàs, Alexis, Montibeller, Gilberto, Lucertini, Giulia, Belton, Valérie
Maintainer CCSD
Last Updated May 9, 2026, 08:11 (UTC)
Created May 9, 2026, 08:11 (UTC)
Identifier hal-00874307
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision (LAMSADE) ; Université Paris Dauphine-PSL ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
creator Tsoukiàs, Alexis
date 2013-03-14T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-08-12T00:00:00
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