About BIS
During the 20 years of the BIS conference history, it grew as well renowned event of the scientific community. Every year it joins international researchers for scientific discussions on the development, implementation and application of business information systems, based on innovative ideas and computational intelligence methods. The conference addresses a wide scientific community and experts involved in the development of business computing applications.
Conference theme: Big Data Analytics for Business and Public Administration
The increasing interest in Big Data resulted in the transformation of science, medicine, healthcare, engineering, business, finance, administration and even society. Big Data Analytics helps organisations process their data in order to identify new opportunities. The results might make the business smarter by enabling faster and better decision making, more efficient operations and higher profits, and also lead to more satisfied customers by gauging their needs.
Big Data Analytics helps to understand and enhance enterprises by linking many fields of information technology and business. Moreover, governments are using Big Data Analytics to gain new insights to change the accepted notions of public service, improve quality of life and set new patient-centric standards for healthcare. Thus, BIS 2017 conference will continue the discussion about Big and Smart Data started on the previous editions. We invite researchers and business practitioners to publish the latest results in Big Data Analytics research. Our goal is to inspire you to think outside the box by sharing theoretical and practical knowledge of ongoing Big Data solutions and technologies.
The BIS conference is a well-respected event joining international researchers to discuss the wide range of the development, implementation, application and improvement of business applications and systems. It is addressed to the scientific community, people involved in the development of business computer applications,consultants helping to properly implement computer technology and applications in the industry.
BIS 2017 proceedings were published as a volume number 288 in Lecture Notes in Business Information Processing series by Springer Verlag.
BIS 2017 workshops proceedings were published as a volume in Lecture Notes in Business Information Processing series by Springer Verlag.
BIS 2016 proceedings were published as a volume number 255 in Lecture Notes in Business Information Processing series by Springer Verlag.
BIS 2016 workshops proceedings were published as a volume number 263 in Lecture Notes in Business Information Processing series by Springer Verlag.
Important links
- Department of Information Systems, Poznan University of Economics, Poznan, Poland
- Poznan University of Economics, Poznan, Poland
For sponsorship opportunities, please contact Bartosz Perkowski: (bartosz.perkowski@ue.poznan.pl)
Supporters
Honorary Patronage
