We are entering the era of Big Data, which is characterized by the three Vs: volume, velocity, and variety. Big Data bring new opportunities to modern society and challenges to data scientists. Business decision-makers and government policy-makers are increasingly turning to Big Data for insight to solve complex problems. Big Data by itself, regardless of the size, type, or accumulation speed, is worthless unless business analytics are employed by managers and decision makers to deliver value to their organizations. Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits.

This workshop encourages submission of innovative technologies, methodologies, and theories in big data and business analytics, which can facilitate and/or provide insights on the practices, challenges, and solutions of data-based business problem-solving. We welcome studies taking various quantitative methods, such as algorithm, econometrics, analytical modeling, simulation, etc.