Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/29174
Author(s): Oliveira, B.
Henriques, A.
Oliveira, Ó.
Duarte, A.
Santos, V.
Antunes, A.
Cardoso, E.
Editor: Gusikhin, O., Hammoudi, S., and Cuzzocrea, A.
Date: 2023
Title: A measure data catalog for dashboard management and validation
Book title/volume: Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA
Pages: 381 - 389
Event title: 12th International Conference on Data Science, Technology and Applications - DATA
Reference: Oliveira, B., Henriques, A., Oliveira, Ó., Duarte, A., Santos, V., Antunes, A., & Cardoso, E. (2023). A measure data catalog for dashboard management and validation. In O. Gusikhin, S. Hammoudi, & A. Cuzzocrea (Eds.), Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA (pp. 381-389). SciTePress. https://doi.org/10.5220/0012088400003541
ISSN: 2184-285X
ISBN: 978-989-758-664-4
DOI (Digital Object Identifier): 10.5220/0012088400003541
Keywords: Data catalogs
Measures
Analytical systems
Business intelligence
Dashboards
Abstract: The amount and diversity of data that organizations have to deal with, intensify the importance and challenges associated with data management. In this context, data catalogs play a significant role, as they are used as a tool to find and understand data. With the emergence of new approaches to storing and exploring data, such as Data Lake or Data Lakehouse, the requirements associated with building and maintaining the data catalog have evolved and represent an opportunity for organizations to develop their decision-making processes. This work explores a metric data catalog for analytical systems to support building, validating, and maintaining dashboards in a Business Intelligence system.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:CIES-CRI - Comunicações a conferências internacionais
CTI-CRI - Comunicações a conferências internacionais

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