Quality Management in Social Business Intelligence Projects

María Aramburu, Rafael Berlanga, Indira Lanza-Cruz

2021

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.

Paper Citation

in Harvard Style

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, pages 320-327. DOI: 10.5220/0010495703200327

in Bibtex Style

@conference{iceis21,
author={María 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},
}

in EndNote Style

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
AU - Aramburu M.
AU - Berlanga R.
AU - Lanza-Cruz I.
PY - 2021
SP - 320
EP - 327
DO - 10.5220/0010495703200327