A Comparative Analysis of Open-Source Business Intelligence Platforms for Integration with a Low-Code Platform-Reference-Cited by-同舟云学术

A Comparative Analysis of Open-Source Business Intelligence Platforms for Integration with a Low-Code Platform

Published:2023-10-05 Issue: Volume: Page:
ISSN:2938-5202
Container-title:Proceedings of the 31st International Conference on Information Systems Development
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Author:

Aveiro David¹,Mendes João²,Pinto Duarte³,Freitas Vítor²

Affiliation:

1. ARDITI - Regional Agency for the Development of Research & University of Madeira & NOVA-LINCS - Universidade NOVA de Lisboa, Funchal, Portugal

2. ARDITI - Regional Agency for the Development of Research & University of Madeira, Funchal, Portugal

3. ARDITI - Regional Agency for the Development of Research, Funchal, Portugal

Publisher

Instituto Superior Técnico

Reference19 articles.

1. 1. R. H. Hariri, E. M. Fredericks, and K. M. Bowers, "Uncertainty in big data analytics: survey, opportunities, and challenges," Journal of Big Data, vol. 6, no. 1, pp. 1-16, 2019.

2. 2. T. Payton and T. Claypoole, Privacy in the age of Big data: Recognizing threats, defending your rights, and protecting your family. Rowman & Littlefield, 2023.

3. 3. M. Naeem, T. Jamal, J. Diaz-Martinez, S. A. Butt, N. Montesano, M. I. Tariq, E. Dela Hoz-Franco, and E. De-La-Hoz-Valdiris, "Trends and future perspective challenges in big data," in Advances in intelligent data analysis and applications, pp. 309-325, Springer, 2022.

4. 4. A. K. Mohamad, M. Jayakrishnan, and M. M. Yusof, "Thriving information system through business intelligence knowledge management excellence framework.," International Journal of Electrical & Computer Engineering (2088-8708), vol. 12, no. 1, 2022.

5. 5. W. R. Paczkowski, Business Analytics: Data Science for Business Problems. Springer Nature, 2022.