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An Actionable Knowledge Discovery System in Regular Sports Services

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Book cover New Knowledge in Information Systems and Technologies (WorldCIST'19 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 931))

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Abstract

This work presents an actionable knowledge discovery system for real user needs with three steps. In the first step, it extracts and transforms existing data in the databases of the ERP and CRM systems of the sports facilities and loads them into a Data Warehouse. In a second phase, predictive models are applied to identify profiles more susceptible to abandonment. Finally, in the third phase, based on the previous models, experimental planning is carried out, with test and control groups, in order to find concrete actions for customer retention.

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Author information

Authors and Affiliations

  1. Universidade Aberta, Cedis, Lisbon, Portugal

    Paulo Pinheiro

  2. Universidade Aberta, BioISI-MAS, Lisbon, Portugal

    Luís Cavique

Authors
  1. Paulo Pinheiro
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  2. Luís Cavique
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Corresponding author

Correspondence to Paulo Pinheiro .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Faculdade de Engenharia/LIACC, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Pinheiro, P., Cavique, L. (2019). An Actionable Knowledge Discovery System in Regular Sports Services. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-030-16184-2_44

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