| HAL-Inria | Publications, software ... of Inria's scientists |
Conference papers
From Indicators to Predictive Analytics: A Conceptual Modelling Framework
Abstract : 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.
Cited literature [21 references]
https://hal.inria.fr/hal-01765243
Contributor : Hal Ifip <>
Submitted on : Thursday, April 12, 2018 - 4:33:29 PM
Last modification on : Thursday, November 5, 2020 - 11:46:02 AM
Contributor : Hal Ifip <>
Submitted on : Thursday, April 12, 2018 - 4:33:29 PM
Last modification on : Thursday, November 5, 2020 - 11:46:02 AM
File
459826_1_En_12_Chapter.pdf
Files produced by the author(s)
Licence
Distributed under a Creative Commons Attribution 4.0 International License