The Implications of Big Data Analytics on Business Intelligence: A Qualitative Study in China

Abstract

Social media has brought about a revolution and dictated a paradigm shift in the operational strategies of firms globally. It has resulted in collection of massive data from a variety of social media channels, necessitating use of this data for business intelligence purposes. Despite its importance, little research exists on the implications of the use of Big Data analytics for business intelligence purposes. This study fills this gap in knowledge by examining the role and implication of Big Data analytics on business intelligence for the data collected from Social media channels in China. Given the exploratory nature of the research, the study takes a qualitative approach to data collection and analysis. Based on an extensive literature review, the study has developed a robust semi-structure questionnaire. We plan to conduct approximately 35-40 interviews with respondents such as IT managers, IT consultants, and Senior Business managers among others from a wide range of industries including retail and manufacturing settings. The data will be analysed using Nvivo to identify issues that are critical for creating value through Big Data analytics for business intelligence purposes. The results have significant impact for both theory and practice to devise plans and strategies to optimise the benefits of social-media channels for business value.

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

“…The research boom regarding big data has led to the development of BDA, through which valuable information is extracted from a company's data. Companies are well aware of the increasing importance and investment need for BDA, as shown by Tankard [25], who claimed that a company can secure higher market share than its rivals and has the potential to increase its operating profit margin ratio by up to 60% by using big data effectively [25,26]. In the logistics industry, big data are used more widely than ever for supporting and optimizing operational processes, including supply chain management.…”

“…In the logistics industry, big data are used more widely than ever for supporting and optimizing operational processes, including supply chain management. Big data have been instrumental in developing new products and services, planning supply, managing inventory and risks, and providing customized services [26][27][28][29].…”

“…The growing interest in big data/BDA and rapid development in this area have strengthened BI as a decision support system, thereby promoting corporate management and enhancing business value by providing more valuable information to generate innovative ideas for new products and services. This has led to a rise in customer satisfaction, improved inventory and risk management, improved supply chain risk management, creation of competitive information, and provision of real-time business insights [26][27][28][29][40][41][42].…”

Big Data in Business

“…The main challenges of big data analytics fall in the domains of technology, people, and organization. They include lack of intelligent BD sources, lack of scalable real-time analytics capabilities, the concerns about data privacy and information security regulations, the problems with data integration, lack of availability of cost effective storage subsystem, and a lack of data scientists (who have the technical savvy for big data) [8].…”

The Future of Accounting Profession in an Era of Start-Ups

“…Cloud technology has brought many advantages for businesses such as lower operating costs of working online, higher level of data security, access from anywhere and anytime [6]. On the other hand, with the advancements in both cloud and other information technologies, companies have faced with a stream of data from every aspect of their business and that stream allowed companies to analyse that big data and get insights that are hidden before [7,8]. According to IBM, human being is creating 2.5 quintillion bytes of data every day and 90% of the world's data today has been created in the last 2 years alone [9].…”