Big Data and Business Intelligence - A Data Driven Strategy for Business in Bosnia Herzegovina
Management accounting is the central piece that controls organisations' decision-making based on management accounting, yet little research focuses on this area. Hence this study, object classification, descriptive analysis and pattern recognition are implemented to investigate the correlation...
الحاوية / القاعدة: | 2022 IEEE 10th Conference on Systems, Process and Control, ICSPC 2022 - Proceedings |
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المؤلف الرئيسي: | |
التنسيق: | Conference paper |
اللغة: | English |
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Institute of Electrical and Electronics Engineers Inc.
2022
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الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146682275&doi=10.1109%2fICSPC55597.2022.10001788&partnerID=40&md5=0c0bc3bea398f711ad5d068f70111144 |
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Kelic A.; Almisreb A.; Md Tahir N.; Bakri J. |
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Kelic A.; Almisreb A.; Md Tahir N.; Bakri J. 2-s2.0-85146682275 Big Data and Business Intelligence - A Data Driven Strategy for Business in Bosnia Herzegovina 2022 2022 IEEE 10th Conference on Systems, Process and Control, ICSPC 2022 - Proceedings 10.1109/ICSPC55597.2022.10001788 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146682275&doi=10.1109%2fICSPC55597.2022.10001788&partnerID=40&md5=0c0bc3bea398f711ad5d068f70111144 Management accounting is the central piece that controls organisations' decision-making based on management accounting, yet little research focuses on this area. Hence this study, object classification, descriptive analysis and pattern recognition are implemented to investigate the correlation between decision-making and business intelligence. The data acquisition is from organisations in Bosnia and Herzegovina, specifically from a Structured Query Language Database and quantitative approach. Further, the statistical data generated patterns of sales and expenses that can be recognised, marking down the organisation might have to take a different approach which is based on 55000 transactions accumulated over the past six years. These transactions are then normalised into a standardised format and imported into the Atoti BI with Python. Initial findings showed that based on numerical analysis, the revenue and total revenue increased by 10% in the product price. © 2022 IEEE. Institute of Electrical and Electronics Engineers Inc. English Conference paper |
author |
2-s2.0-85146682275 |
spellingShingle |
2-s2.0-85146682275 Big Data and Business Intelligence - A Data Driven Strategy for Business in Bosnia Herzegovina |
author_facet |
2-s2.0-85146682275 |
author_sort |
2-s2.0-85146682275 |
title |
Big Data and Business Intelligence - A Data Driven Strategy for Business in Bosnia Herzegovina |
title_short |
Big Data and Business Intelligence - A Data Driven Strategy for Business in Bosnia Herzegovina |
title_full |
Big Data and Business Intelligence - A Data Driven Strategy for Business in Bosnia Herzegovina |
title_fullStr |
Big Data and Business Intelligence - A Data Driven Strategy for Business in Bosnia Herzegovina |
title_full_unstemmed |
Big Data and Business Intelligence - A Data Driven Strategy for Business in Bosnia Herzegovina |
title_sort |
Big Data and Business Intelligence - A Data Driven Strategy for Business in Bosnia Herzegovina |
publishDate |
2022 |
container_title |
2022 IEEE 10th Conference on Systems, Process and Control, ICSPC 2022 - Proceedings |
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doi_str_mv |
10.1109/ICSPC55597.2022.10001788 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146682275&doi=10.1109%2fICSPC55597.2022.10001788&partnerID=40&md5=0c0bc3bea398f711ad5d068f70111144 |
description |
Management accounting is the central piece that controls organisations' decision-making based on management accounting, yet little research focuses on this area. Hence this study, object classification, descriptive analysis and pattern recognition are implemented to investigate the correlation between decision-making and business intelligence. The data acquisition is from organisations in Bosnia and Herzegovina, specifically from a Structured Query Language Database and quantitative approach. Further, the statistical data generated patterns of sales and expenses that can be recognised, marking down the organisation might have to take a different approach which is based on 55000 transactions accumulated over the past six years. These transactions are then normalised into a standardised format and imported into the Atoti BI with Python. Initial findings showed that based on numerical analysis, the revenue and total revenue increased by 10% in the product price. © 2022 IEEE. |
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Institute of Electrical and Electronics Engineers Inc. |
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English |
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Conference paper |
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scopus |
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Scopus |
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1828987868277637120 |