Big Data and Business Analytics


  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.


  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


  Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. The papers should be prepared in English and submitted in PDF format via the IEEE DSC site (For detailed requirements and template, please visit All accepted papers will appear in the proceedings of the IEEE DSC2017 conference. If accepted, at least one of the authors must attend the workshop to present the work. Accepted papers without presentations will be excluded from the proceedings.

  Submission Link


  Full paper due: April 3, 2017, extended to April 10,2017
  Acceptance notification:April 23, 2017,extended to April 27, 2017
  Camera-ready copy:April 30, 2017,extended to May 12, 2017
  Conference Date: June 26, 2017



Yezheng LiuHefei University of Technology, China


Chao FuHefei University of Technology, China


Keming YuBrunel University London
Jennifer Shang,  University of Pittsburgh
Qiang WeiTsinghua University, China
Yifan DouFudan University, China
Ziqiong Zhang Harbin Institute of Technology, China
Wei GengSouthwest Jiaotong University, China
Wei Xu Renmin University of China
Xusen ChengUniversity of International Business and Economics
Yuanchun JiangHefei University of Technology, China
Lei Li Hefei University of Technology, China
Jianshan SunHefei University of Technology, China