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...

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发表在:2022 IEEE 10th Conference on Systems, Process and Control, ICSPC 2022 - Proceedings
主要作者: 2-s2.0-85146682275
格式: Conference paper
语言:English
出版: Institute of Electrical and Electronics Engineers Inc. 2022
在线阅读:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146682275&doi=10.1109%2fICSPC55597.2022.10001788&partnerID=40&md5=0c0bc3bea398f711ad5d068f70111144
id Kelic A.; Almisreb A.; Md Tahir N.; Bakri J.
spelling 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
container_volume
container_issue
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.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
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record_format scopus
collection Scopus
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