Paper Info
Title
Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field.
Abstract
Five years after the first state-of-the-art report on Commercial Visual Analytics Systems we present a reevaluation of the Big Data Analytics field. We build on the success of the 2012 survey, which was influential even beyond the boundaries of the InfoVis and Visual Analytics (VA) community. While the field has matured significantly since the original survey, we find that innovation and research-driven development are increasingly sacrificed to satisfy a wide range of user groups. We evaluate new product versions on established evaluation criteria, such as available features, performance, and usability, to extend on and assure comparability with the previous survey. We also investigate previously unavailable products to paint a more complete picture of the commercial VA landscape. Furthermore, we introduce novel measures, like suitability for specific user groups and the ability to handle complex data types, and undertake a new case study to highlight innovative features. We explore the achievements in the commercial sector in addressing VA challenges and propose novel developments that should be on systems' roadmaps in the coming years.
Year
DOI
Venue
2019
10.1109/TVCG.2018.2859973
IEEE transactions on visualization and computer graphics
Keywords
Field
DocType
Data visualization,Visual analytics,Big Data,Business,Data analysis,Technological innovation,Usability
Data science,Data visualization,Computer science,Usability,Visual analytics,Complex data type,Theoretical computer science,Comparability,Big data,New product development
Journal
Volume
Issue
ISSN
25
10
1941-0506
Citations 
PageRank 
References 
7
0.41
38
Authors
9
Name
Order
Citations
PageRank
Michael Behrisch123417.70
Dirk Streeb2104.18
Florian Stoffel31069.38
Daniel Seebacher4549.09
Brian Matejek5123.54
Stefan Hagen Weber670.41
Sebastian Mittelstädt7585.36
Hanspeter Pfister85933340.59
Daniel A. Keim977041141.60