Big Data and Business Analytics


  We are entering the era of Big Data, which is characterized by the three Vs: volume, velocity, and variety (McAfee et al, 2012). 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 mining 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.


  Topics of interest include but not limited to:

1. Mechanism of user generated content
2. Information dissemination mechanism in mobile and social contexts
3. Impact of big data technologies and applications
4. Consumer preference extraction in big data contexts
5. Data-driven consumer behavior modeling and marketing
6. Big data-based process analytics
7. Large-scale recommender system
8. Sentiment analysis and opinion mining
9. Big data analytics in business applications
10. Big data and business model innovation
11. Implications of big data in strategy management


  We invite submission of unpublished original research papers that are not under review elsewhere. All submissions should be in English and must be prepared in the IEEE camera-ready format. The papers should be in PDF format and submitted via the IEEE DSC site ( All accepted papers will appear in the proceedings of the IEEE DSC2016 conference. If accepted, at least one of the authors must attend the workshop to present the work.


  Full paper due: March 5, 2016
  Acceptance notification: April 15, 2016
  Camera-ready copy: April 23, 2016
  Conference Date: June 13, 2016


General Chair

Yezheng LiuHefei University of Technology, China

Program Chair

Chao FuHefei University of Technology, China

Program Committee

Qiang WeiTsinghua University, China
Yifan Dou, Fudan University, China
Ziqiong ZhangHarbin Institute of Technology, China
Wei GengSouthwest Jiaotong University, China
Yuanchun JiangHefei University of Technology, China
Lei LiHefei University of Technology, China
Jianshan SunHefei University of Technology, China