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Från data till kunskap : En kvalitativ studie om interaktiv visualisering av big data genom dashboards

Rapid growing volumes of data demands new solutions in terms of analysing and visualizing. The growing amount of data contains valuable information which organizations in a more digitized society need to manage. It is a major challenge to visualize data, both in a static and interactive way. Through visualization of big data follows several opportunities containing risk assessment and decision basis. Previous research indicates a lack of standards and guidelines considering the development of interactive dashboards. By studying factors of success from a user-centered perspective we proceeded with a qualitative approach using semi-structured interviews. In addition to this we performed a thorough examination of existing literature in this particular field of research. A total of eight interviews were held, all eight respondents had experience from using or developing dashboards. The results indicates that user experience is an important yet not a sufficiently used principle. They also indicates challenges concerning the management of big data and particularly visualizing it. The results developed into a model which illustrates guidelines and vital components to orchestrate when developing a dashboard. A user-centered approach should pervade the entire developing process. Interactive functionalities are rather a necessity than a recommendation. With interactiveness comes drill-down functionalities which leads to a more intuitively practice. User experience is an essential component of the model, bringing light to individual customisations as well as it makes allowances to a large target group. The last component highlights the importance of early prototyping and an iterative approach to software development. The conclusion of the study is our complete model which brings opportunities to transform big data to great knowledge.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-120823
Date January 2016
CreatorsAgerberg, David, Eriksson, Linus
PublisherUmeå universitet, Institutionen för informatik, Umeå universitet, Institutionen för informatik
Source SetsDiVA Archive at Upsalla University
LanguageSwedish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationInformatik Student Paper Bachelor (INFSPB) ; SPB 2016.06

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