22nd International Conference on Business Information Systems
- Conference Date
- 26-28 June 2019
- Venue: ETSI Informática, University of Seville
Data Science for Business Information Systems
A more interdisciplinary approach allowing to extract a valuable knowledge from data is required for companies to make profits, be more competitive and survive in the even more dynamic and fast changing environment. Therefore, the concept of Data Science has emerged and gained attention of both scientists and business analysts.
Data Science is the profession of today and the future, as it seeks to provide meaningful information from processing, analysing and interpreting vast amounts of complex and heterogeneous data. It combines different fields of work, such as Mathematics, Statistics, Economics, and Information Systems and uses various scientific and practical methods, tools and systems. The key objective is to extract valuable information and infer knowledge from data that then may be used for multiple purposes, starting from decision making, through product development, up to trend analysis and forecasting. The extracted knowledge allows also a better understanding of actual phenomena and can be applied to improve business processes. Therefore, enterprises in different domains want to take benefit from Data Science that entails technological, industrial and economical advances of our entire society. Following this trend, also the focus of the BIS conference migrates towards Data Science.
The BIS 2019 conference will foster the multidisciplinary discussion about Data Science from both the scientific and practical sides, and its impact on current enterprises. Our goal is to inspire researchers to share theoretical and practical knowledge of the different aspects related to Data Science, and to help them transform their ideas into the innovations of tomorrow.
BIS 2018 proceedings were published as a volume number 320 in Lecture Notes in Business Information Processing series by Springer Verlag.
BIS 2018 workshop proceedings were published as a volume number 339 in Lecture Notes in Business Information Processing series by Springer Verlag.