@inbook{fba0905d97714cdcb164c3bda6bc9f58,
title = "Positioning predictive analytics-A design evaluation",
abstract = "Software as a service, cloud computing and predictive analytics are examples of new phenomena that can have a profound impact on the pervasiveness and accessibility of organizational decision making. The power of propensity scoring based on historic data delivered as a service via cloud computing heralds the availability of capabilities that previously required teams of quantitative specialist to deliver. This paper outlines the development of a predictive analytics cloud service for customer retention and attempts to position the outcomes of this implementation in the context of decision support, knowledge management and work practice evolution.",
keywords = "Decision support, Decision support systems, Design evaluation, Design science, Knowledge management, Predictive analytics, Work practice evolution",
author = "Brian O'Flaherty and Ciara Heavin",
year = "2014",
doi = "10.3233/978-1-61499-399-5-414",
language = "English",
isbn = "9781614993988",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "414--425",
editor = "Gloria Phillips-Wren and Sven Carlsson and Ana Respicio and Patrick Brezillon",
booktitle = "DSS 2.0 - Supporting Decision Making with New Technologies",
address = "Netherlands",
}