Augmented Analytics as Management Support
dc.contributor.author | Marques, Pedro M. | |
dc.contributor.author | Tavares, Fernando Oliveira | |
dc.contributor.author | Cordeiro, Bruno | |
dc.date.accessioned | 2024-07-03T12:31:39Z | |
dc.date.available | 2024-07-03T12:31:39Z | |
dc.date.issued | 2024-05-09 | |
dc.description.abstract | In this article, it can be verified that the Augmented Analytics is a powerful tool that supports the management of business environments, it is the bases of the organizational success allowing informed and quick decision making in a growing more complex and dynamic world, through deeper and relevant insights. Augmented Analytics, which combines Artificial Intelligence, Machine Learning, advanced data visualization and automation techniques, emerges as an essential resource to provide managers with knowledge for better decision-making. There is increasing emphasis on the application of Augmented Analytics in areas such as trend forecasting, resource optimization and anomaly detection, identifying patterns and processing increasingly larger volumes of data. This approach is being implemented in several organizations, resulting in significant improvements in operational efficiency, resource allocation and the ability to adapt to market changes. It is guaranteed to be a competitive advantage for organizations that seek to make more informed and effective decisions, much faster with a greater level of precision. | |
dc.identifier.citation | Marques, P. M., Tavares, F. O., & Cordeiro, B. (2024). Augmented Analytics as Management Support. In Reference Module in Social Sciences, (published online: 9 may 2024, pp. 1-5). Elsevier. https://doi.org/10.1016/B978-0-443-13701-3.00004-9. Repositório Institucional UPT. https://hdl.handle.net/11328/5724 | |
dc.identifier.isbn | 9780443157851 | |
dc.identifier.uri | https://hdl.handle.net/11328/5724 | |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.relation.hasversion | https://doi.org/10.1016/B978-0-443-13701-3.00004-9 | |
dc.rights | restricted access | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Artificial intelligence | |
dc.subject | Augmented analytics | |
dc.subject | Business ecosystems | |
dc.subject | Business intelligence | |
dc.subject | Coevolution human-AI | |
dc.subject | Data science | |
dc.subject | Decision-making | |
dc.subject | Democratizing data | |
dc.subject | Machine learning | |
dc.subject | Management | |
dc.subject | Natural language generation. | |
dc.subject | Natural language processing | |
dc.subject.fos | Ciências Sociais - Economia e Gestão | |
dc.title | Augmented Analytics as Management Support | |
dc.type | book part | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 5 | |
oaire.citation.startPage | 1 | |
oaire.citation.title | Reference Module in Social Sciences | |
person.affiliation.name | REMIT – Research on Economics, Management and Information Technologies | |
person.familyName | Tavares | |
person.givenName | Fernando Oliveira | |
person.identifier.ciencia-id | 7D1A-C7C3-7AE8 | |
person.identifier.orcid | 0000-0002-9672-8770 | |
person.identifier.scopus-author-id | 58489088300 | |
relation.isAuthorOfPublication | a62490e5-4b80-4c2c-80dc-bd4773804967 | |
relation.isAuthorOfPublication.latestForDiscovery | a62490e5-4b80-4c2c-80dc-bd4773804967 |
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