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Authors: María José Aramburu 1 ; Rafael Berlanga 2 and Indira Lanza-Cruz 2

Affiliations: 1 Department de’Enginyeria i Ciència dels Computadors, Universitat Jaume I, E-12071 Castelló de la Plana, Spain ; 2 Department de Llenguatges i Sistemes Informàtics, Universitat Jaume I, E-12071 Castelló de la Plana, Spain

Keyword(s): Quality Management, Social Data, Business Intelligence.

Abstract: Social networks have become a new source of useful information for companies. Increasing the value of social data requires, first, assessing and improving the quality of the relevant data and, subsequently, developing practical solutions that apply them in business intelligence tasks. This paper focuses on the Twitter social network and the processing of social data for business intelligence projects. With this purpose, the paper starts by defining the special requirements of the analysis cubes of a Social Business Intelligence (SoBI) project and by reviewing previous work to demonstrate the lack of valid approaches to this problem. Afterwards, we present a new data processing method for SoBI projects whose main contribution is a phase of data exploration and profiling that serves to build a quality data collection with respect to the analysis objectives of the project.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Aramburu, M.; Berlanga, R. and Lanza-Cruz, I. (2021). Quality Management in Social Business Intelligence Projects. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 320-327. DOI: 10.5220/0010495703200327

@conference{iceis21,
author={María José Aramburu. and Rafael Berlanga. and Indira Lanza{-}Cruz.},
title={Quality Management in Social Business Intelligence Projects},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2021},
pages={320-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010495703200327},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Quality Management in Social Business Intelligence Projects
SN - 978-989-758-509-8
IS - 2184-4992
AU - Aramburu, M.
AU - Berlanga, R.
AU - Lanza-Cruz, I.
PY - 2021
SP - 320
EP - 327
DO - 10.5220/0010495703200327
PB - SciTePress

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