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Chapter

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Title

From Indicators to Predictive Analytics: A Conceptual Modelling Framework

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • conceptual modelling
  • predictive analytics
  • goal-oriented requirements engineering
Abstract

EN 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.

Pages (from - to)

171 - 186

DOI

10.1007/978-3-319-70241-4_12

URL

https://link.springer.com/chapter/10.1007%2F978-3-319-70241-4_12

Book

The Practice of Enterprise Modeling : 10th IFIP WG 8.1. Working Conference, PoEM 2017, Leuven, Belgium, November 22-24, 2017 : Proceedings

Presented on

10th IFIP WG 8.1. Working Conference on The Practice of Enterprise Modeling, PoEM 2017, 22-24.11.2017, Leuven, Belgium

Ministry points / chapter

20

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