Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics

Abstract

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.

Examining the adoption of Big data analytics in supply chain management under competitive pressure: evidence from Saudi Arabia

“…One of the most disruptive digital innovation that can support DT is big data analytics (BDA) (Jin and Kim, 2018;Madhlangobe, 2018;Malaka and Brown, 2015;Tahiduzzaman et al, 2017). BDA's adoption in transforming supply chain management (SCM) activities has gained a growing interest in recent years, both among practitioners and academia (Brinch, 2019;Cheng et al, 2018;Mishra et al, 2018).…”

A Conceptual Model of Business Intelligence System Adoption for the Textile and Apparel Industry in Pakistan

“…BI system is used in multiple departments of industry (sale, marketing, retailing, finance etc.) to support effective marketing campaigns, to monitor the behaviors of customers and to analyze profitability of different products and sectors [24]. Therefore the above-mentioned characteristics of BI system enable the T&A industry to overcome international trade challenges by detecting business threats and opportunities with real time decision-making [25].…”

An examination of the organizational impact of business intelligence and big data based on management theory

“…From the data viewpoint, knowledge discovery is the core of BDA and BI systems (Sun, Zou, & Strang, 2015). Jin & Kim (2018) consider BI's "raw data" to have been expanded into "big data" due to the advanced technology capability. Therefore, it is logical to consider that BI, BD, and BDA are not independent concepts.…”

“…Therefore, it is logical to consider that BI, BD, and BDA are not independent concepts. Consequently, it is beneficial to integrate all of them into an integrated DSS, incorporating all processes from data gathering to data analytics and insights to decision making (Calof & Viviers, 2020;Jin, & Kim, 2018). However, analytical models based on single data sources may provide limited insights that consequently lead to biased business decisions.…”