Quality management in social business intelligence projects
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comunitat-uji-handle3:10234/146069
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Título
Quality management in social business intelligence projectsFecha de publicación
2021Editor
SciTePress Science and Technology PublicationsISBN
9789897585098ISSN
2184-4992Cita bibliográfica
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 320-327Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
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 ... [+]
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. [-]
Publicado en
Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS 2021) - Volume 1Entidad financiadora
Ministerio de Industria y Comercio | Universitat Jaume I
Código del proyecto o subvención
TIN2017-88805-R | PREDOC/2017/28
Derechos de acceso
info:eu-repo/semantics/openAccess