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Authors: Bruno Oliveira 1 ; Ana Henriques 1 ; Óscar Oliveira 1 ; Ana Duarte 2 ; Vasco Santos 3 ; António Antunes 4 ; 5 and Elsa Cardoso 5 ; 6

Affiliations: 1 CIICESI, School of Management and Technology, Porto Polytechnic, Portugal ; 2 ALGORITMI R&D Centre, University of Minho, Campus de Gualtar, Braga, Portugal ; 3 School of Management and Technology, Porto Polytechnic, Portugal ; 4 National Laboratory for Civil Engineering (LNEC), Lisboa, Portugal ; 5 ISCTE – Instituto Universitário de Lisboa, Lisboa, Portugal ; 6 CIES - ISCTE, Lisboa, Portugal

Keyword(s): 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.

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Paper citation in several formats:
Oliveira, B.; Henriques, A.; Oliveira, Ó.; Duarte, A.; Santos, V.; Antunes, A. and Cardoso, E. (2023). A Measure Data Catalog for Dashboard Management and Validation. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-664-4; ISSN 2184-285X, SciTePress, pages 381-389. DOI: 10.5220/0012088400003541

@conference{data23,
author={Bruno Oliveira. and Ana Henriques. and Óscar Oliveira. and Ana Duarte. and Vasco Santos. and António Antunes. and Elsa Cardoso.},
title={A Measure Data Catalog for Dashboard Management and Validation},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA},
year={2023},
pages={381-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012088400003541},
isbn={978-989-758-664-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA
TI - A Measure Data Catalog for Dashboard Management and Validation
SN - 978-989-758-664-4
IS - 2184-285X
AU - Oliveira, B.
AU - Henriques, A.
AU - Oliveira, Ó.
AU - Duarte, A.
AU - Santos, V.
AU - Antunes, A.
AU - Cardoso, E.
PY - 2023
SP - 381
EP - 389
DO - 10.5220/0012088400003541
PB - SciTePress

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