Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics
Efficient decision making based on business intelligence (BI) is essential to ensure competitiveness for sustainable growth. The rapid development of information and communication technology has made collection and analysis of big data essential, resulting in a considerable increase in academic stud...
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doaj-a45ddd1402e047f88f17a36735ddbde62020-11-25T00:59:33ZengMDPI AGSustainability2071-10502018-10-011010377810.3390/su10103778su10103778Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of LogisticsDong-Hui Jin0Hyun-Jung Kim1Seoul Business School, aSSIST, 46 Ewhayeodae 2-gil, Seodaemun-gu, Seoul 03767, KoreaSeoul Business School, aSSIST, 46 Ewhayeodae 2-gil, Seodaemun-gu, Seoul 03767, KoreaEfficient decision making based on business intelligence (BI) is essential to ensure competitiveness for sustainable growth. The rapid development of information and communication technology has made collection and analysis of big data essential, resulting in a considerable increase in academic studies on big data and big data analysis (BDA). However, many of these studies are not linked to BI, as companies do not understand and utilize the concepts in an integrated way. Therefore, the purpose of this study is twofold. First, we review the literature on BI, big data, and BDA to show that they are not separate methods but an integrated decision support system. Second, we explore how businesses use big data and BDA practically in conjunction with BI through a case study of sorting and logistics processing of a typical courier enterprise. We focus on the company’s cost efficiency as regards to data collection, data analysis/simulation, and the results from actual application. Our findings may enable companies to achieve management efficiency by utilizing big data through efficient BI without investing in additional infrastructure. It could also give them indirect experience, thereby reducing trial and error in order to maintain or increase competitiveness.http://www.mdpi.com/2071-1050/10/10/3778business applicationbig databig data analysisbusiness intelligencelogisticscourier service |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dong-Hui Jin Hyun-Jung Kim |
spellingShingle |
Dong-Hui Jin Hyun-Jung Kim Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics Sustainability business application big data big data analysis business intelligence logistics courier service |
author_facet |
Dong-Hui Jin Hyun-Jung Kim |
author_sort |
Dong-Hui Jin |
title |
Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics |
title_short |
Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics |
title_full |
Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics |
title_fullStr |
Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics |
title_full_unstemmed |
Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics |
title_sort |
integrated understanding of big data, big data analysis, and business intelligence: a case study of logistics |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2018-10-01 |
description |
Efficient decision making based on business intelligence (BI) is essential to ensure competitiveness for sustainable growth. The rapid development of information and communication technology has made collection and analysis of big data essential, resulting in a considerable increase in academic studies on big data and big data analysis (BDA). However, many of these studies are not linked to BI, as companies do not understand and utilize the concepts in an integrated way. Therefore, the purpose of this study is twofold. First, we review the literature on BI, big data, and BDA to show that they are not separate methods but an integrated decision support system. Second, we explore how businesses use big data and BDA practically in conjunction with BI through a case study of sorting and logistics processing of a typical courier enterprise. We focus on the company’s cost efficiency as regards to data collection, data analysis/simulation, and the results from actual application. Our findings may enable companies to achieve management efficiency by utilizing big data through efficient BI without investing in additional infrastructure. It could also give them indirect experience, thereby reducing trial and error in order to maintain or increase competitiveness. |
topic |
business application big data big data analysis business intelligence logistics courier service |
url |
http://www.mdpi.com/2071-1050/10/10/3778 |
work_keys_str_mv |
AT donghuijin integratedunderstandingofbigdatabigdataanalysisandbusinessintelligenceacasestudyoflogistics AT hyunjungkim integratedunderstandingofbigdatabigdataanalysisandbusinessintelligenceacasestudyoflogistics |
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