Intelligent architecture to support second generation general accounting
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/150041 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management |
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Intelligent architecture to support second generation general accountingIntelligent architecturegeneral accountingartificial intelligenceRPA and OCRMachine LearningDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementThis study aimed to innovate the world of accounting software. After so many years, accountants are faced with an unbelievable amount of work, which is not always productive, effective and efficient for both the accountant and the company that provided him with the data required to carry out the accounting. There is already accounting software with various automation processes, from ornamentation to profitability analysis and management reporting. There is also software that is updated in accordance with the accounting laws, i.e., the platform changes its mechanisms according to the changes in the law. Despite the existence of this software, manual work remains, and the amount of information accountants are faced with is still very large. It is difficult for accountants to do a 100% reliable job with so much information and data they have. One of the most common situations in the accounting world is undoubtedly the miscalculation or forgetting of some financial or non-financial data found in accounting operations (income statements, balance sheets, etc.). To render accounting operations efficient, effective and productive, errorfree and 100% reliable, an intelligent architecture has been developed to support second generation general accounting. This architectural design was developed with a view to make the existing software smarter with the help of artificial intelligence. A study was carried out on accounting keys and concepts, on AI and main process automation techniques to build the model. With these studies it was intended to acquire all possible requirements for the creation of the architecture. Towards the end of the thesis the model was validated.Santos, Vitor Manuel Pereira Duarte dosRUNCunha, Rita Moura Martins Galiére da2023-03-06T15:22:21Z2023-01-262023-01-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/150041TID:203243250enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:31:52Zoai:run.unl.pt:10362/150041Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:55.802474Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Intelligent architecture to support second generation general accounting |
title |
Intelligent architecture to support second generation general accounting |
spellingShingle |
Intelligent architecture to support second generation general accounting Cunha, Rita Moura Martins Galiére da Intelligent architecture general accounting artificial intelligence RPA and OCR Machine Learning |
title_short |
Intelligent architecture to support second generation general accounting |
title_full |
Intelligent architecture to support second generation general accounting |
title_fullStr |
Intelligent architecture to support second generation general accounting |
title_full_unstemmed |
Intelligent architecture to support second generation general accounting |
title_sort |
Intelligent architecture to support second generation general accounting |
author |
Cunha, Rita Moura Martins Galiére da |
author_facet |
Cunha, Rita Moura Martins Galiére da |
author_role |
author |
dc.contributor.none.fl_str_mv |
Santos, Vitor Manuel Pereira Duarte dos RUN |
dc.contributor.author.fl_str_mv |
Cunha, Rita Moura Martins Galiére da |
dc.subject.por.fl_str_mv |
Intelligent architecture general accounting artificial intelligence RPA and OCR Machine Learning |
topic |
Intelligent architecture general accounting artificial intelligence RPA and OCR Machine Learning |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-06T15:22:21Z 2023-01-26 2023-01-26T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/150041 TID:203243250 |
url |
http://hdl.handle.net/10362/150041 |
identifier_str_mv |
TID:203243250 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138129013112833 |