%0 Conference Proceedings
%T From Indicators to Predictive Analytics: A Conceptual Modelling Framework
%+ Poznan University of Technology (PUT)
%+ Université libre de Bruxelles (ULB)
%+ University of Toronto
%A Nasiri, Azadeh
%A Nalchigar, Soroosh
%A Yu, Eric
%A Ahmed, Waqas
%A Wrembel, Robert
%A Zimanyi, Esteban
%Z Part 1: Regular Papers
%< avec comité de lecture
%( Lecture Notes in Business Information Processing
%B 10th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM)
%C Leuven, Belgium
%Y Geert Poels
%Y Frederik Gailly
%Y Estefania Serral Asensio
%Y Monique Snoeck
%I Springer International Publishing
%3 The Practice of Enterprise Modeling
%V LNBIP-305
%P 171-186
%8 2017-11-22
%D 2017
%R 10.1007/978-3-319-70241-4_12
%K Conceptual modelling
%K Predictive analytics
%K Goal-oriented requirements engineering
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Predictive analytics provides organisations with insights about future outcomes. Despite the hype around it, not many organizations are using it. Organisations still rely on the descriptive insights provided by the traditional business intelligence (BI) solutions. The barriers to adopt predictive analytics solutions are that businesses struggle to understand how such analytics could enhance their existing BI capabilities, and also businesses lack a clear understanding of how to systematically design the predictive analytics. This paper presents a conceptual modelling framework to overcome these barriers. The framework consists of two modelling components and a set of analysis that systematically (1) justify the needs for predictive analytics within the organisational context, and (2) identify the predictive analytics design requirements. The framework is illustrated using a real case adopted from the literature.
%G English
%Z TC 8
%Z WG 8.1
%2 https://inria.hal.science/hal-01765243/document
%2 https://inria.hal.science/hal-01765243/file/459826_1_En_12_Chapter.pdf
%L hal-01765243
%U https://inria.hal.science/hal-01765243
%~ SHS
%~ IFIP
%~ IFIP-TC
%~ IFIP-LNBIP
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-WG8-1
%~ IFIP-POEM
%~ IFIP-LNBIP-305