Big Data. En undersökande studie om hur Big Data uppfattas hos IT organisationer i Sverige
Data sets are continuously increasing within organizations. Data sets will also be in larger amounts,have shorter lifetime, is becoming more varied and holds various degrees of uncertainty. Together,these dimensions are included in the term Big Data. There is no universally accepted definition ofBig Data and how it should be used. Applications that turn out to be part of a Big Data conceptoften begin as investments in an organization in order come to new insights or create new businessperspectives. The purpose of this study is to compare different theoretical descriptions of Big Dataand relate them to how Swedish organizations apply IT solutions which can be defined as Big Data.The study includes four interviews with various actors involved in Big Data applications. Theresults of the analysis show significant differences between how organizations perceive Big Data,what it can be used for and what challenges and risks involved in its implementation. The study'scontribution to the field of Informatics is a better understanding of the phenomenon of Big Data.Furthermore, we have also come to the conclusion that Big Data can be used as a new complementof data sources in decision support systems. This thesis has been written in Swedish.Keywords: big data, business intelligence, decision support system, risk management, knowledge