DATA ANALYSIS OF THE LOGISTICS COMAPANY’S DATA BY MEANS OF BUSINESS INTELLIGENCE
The aim of this article is to present how we processed and analysed data from a logistics company using various Business Intelligence tools. The theoretical part of the article is therefore focused on defining Business Intelligence concepts and data warehouses that are relevant to the issue. The p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2019-01-01
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| Series: | Acta Electrotechnica et Informatica |
| Subjects: | |
| Online Access: | http://www.aei.tuke.sk/papers/2018/4/09_Muchova.pdf |
| _version_ | 1797762400330448896 |
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| author | Miroslava MUCHOVÁ Ján PARALIČ Barbora NAGYOVÁ |
| author_facet | Miroslava MUCHOVÁ Ján PARALIČ Barbora NAGYOVÁ |
| author_sort | Miroslava MUCHOVÁ |
| collection | DOAJ |
| description | The aim of this article is to present how we processed and analysed data from a logistics company using various Business
Intelligence tools. The theoretical part of the article is therefore focused on defining Business Intelligence concepts and data
warehouses that are relevant to the issue. The practical part of the article focuses on editing data, creating dimension tables and facts.
The data were collected from the Dynafleet system and originated from a shipping company. The data provided are for the period from
2013 to 2016. We design user scenarios to help the company's manager in making an efficient assignment of drivers to planned delivery
routes. The research is focused on design and creation of a logistics system based on data analytics that can continuously analyze the
incoming data and generate current decision support reports. The created user scenarios have a wide range of uses and can also be
helpful in assessing the performance of individual drivers and their workloads. Using a logistics system, the logistics manager can get
the valuable and useful information needed to effectively operate the business. |
| first_indexed | 2024-03-12T19:27:43Z |
| format | Article |
| id | doaj.art-8197e04ed0944bb58b19f870e0c7f9a8 |
| institution | Directory Open Access Journal |
| issn | 1335-8243 1338-3957 |
| language | English |
| last_indexed | 2024-03-12T19:27:43Z |
| publishDate | 2019-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Acta Electrotechnica et Informatica |
| spelling | doaj.art-8197e04ed0944bb58b19f870e0c7f9a82023-08-02T04:48:35ZengSciendoActa Electrotechnica et Informatica1335-82431338-39572019-01-01184586310.15546/aeei-2018-0034DATA ANALYSIS OF THE LOGISTICS COMAPANY’S DATA BY MEANS OF BUSINESS INTELLIGENCEMiroslava MUCHOVÁ0Ján PARALIČ1Barbora NAGYOVÁ2Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovak RepublicDepartment of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovak RepublicDepartment of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, Slovak RepublicThe aim of this article is to present how we processed and analysed data from a logistics company using various Business Intelligence tools. The theoretical part of the article is therefore focused on defining Business Intelligence concepts and data warehouses that are relevant to the issue. The practical part of the article focuses on editing data, creating dimension tables and facts. The data were collected from the Dynafleet system and originated from a shipping company. The data provided are for the period from 2013 to 2016. We design user scenarios to help the company's manager in making an efficient assignment of drivers to planned delivery routes. The research is focused on design and creation of a logistics system based on data analytics that can continuously analyze the incoming data and generate current decision support reports. The created user scenarios have a wide range of uses and can also be helpful in assessing the performance of individual drivers and their workloads. Using a logistics system, the logistics manager can get the valuable and useful information needed to effectively operate the business.http://www.aei.tuke.sk/papers/2018/4/09_Muchova.pdfBusiness IntelligenceCRISP-DMOracleData mining |
| spellingShingle | Miroslava MUCHOVÁ Ján PARALIČ Barbora NAGYOVÁ DATA ANALYSIS OF THE LOGISTICS COMAPANY’S DATA BY MEANS OF BUSINESS INTELLIGENCE Acta Electrotechnica et Informatica Business Intelligence CRISP-DM Oracle Data mining |
| title | DATA ANALYSIS OF THE LOGISTICS COMAPANY’S DATA BY MEANS OF BUSINESS INTELLIGENCE |
| title_full | DATA ANALYSIS OF THE LOGISTICS COMAPANY’S DATA BY MEANS OF BUSINESS INTELLIGENCE |
| title_fullStr | DATA ANALYSIS OF THE LOGISTICS COMAPANY’S DATA BY MEANS OF BUSINESS INTELLIGENCE |
| title_full_unstemmed | DATA ANALYSIS OF THE LOGISTICS COMAPANY’S DATA BY MEANS OF BUSINESS INTELLIGENCE |
| title_short | DATA ANALYSIS OF THE LOGISTICS COMAPANY’S DATA BY MEANS OF BUSINESS INTELLIGENCE |
| title_sort | data analysis of the logistics comapany s data by means of business intelligence |
| topic | Business Intelligence CRISP-DM Oracle Data mining |
| url | http://www.aei.tuke.sk/papers/2018/4/09_Muchova.pdf |
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