التفاصيل البيبلوغرافية
| العنوان: |
Intelligent architecture to support second generation general accounting |
| المؤلفون: |
Cunha, Rita Moura Martins Galiére da |
| المساهمون: |
Santos, Vitor Manuel Pereira Duarte dos, RUN |
| سنة النشر: |
2023 |
| مصطلحات موضوعية: |
Intelligent architecture, general accounting, artificial intelligence, RPA and OCR, Machine Learning |
| الوصف: |
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management |
| Description (Translated): |
This 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. |
| Contents Note: |
TID:203243250 |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| الاتاحة: |
http://hdl.handle.net/10362/150041 |
| Rights: |
open access |
| رقم الانضمام: |
rcaap.com.unl.run.unl.pt.10362.150041 |
| قاعدة البيانات: |
RCAAP |