Big data analytics and business analytics
Lian Duan, Ye Xiong
Abstract
Lian Duan, Ye Xiong
Abstract
Over the past few decades, with the development of automatic identification, data capture and storage technologies, people generate data much faster and collect data much bigger than ever before in business, science, engineering, education and other areas. Big data has emerged as an important area of study for both practitioners and researchers. It has huge impacts on data-related problems. In this paper, we identify the key issues related to big data analytics and then investigate its applications specifically related to business problems.
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Over the past few decades, with the development of automatic identification, data capture and storage technologies, people generate data much faster and collect data much bigger than ever before in business, science, engineering, education and other areas. Big data has emerged as an important area of study for both practitioners and researchers. It has huge impacts on data-related problems. In this paper, we identify the key issues related to big data analytics and then investigate its applications specifically related to business problems.
Key concepts: Analytics, Business analytics, Big data, Business intelligence, Data science, Data analysis, Software analytics, Computer science