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Mastering the Information Age Solving Problems with Visual Analytics

University of Groningen research database (University of Groningen / Centre for Information Technology)Published 5 December 2022Open access
Daniel A. Keim, Jörn Kohlhammer, Geoffrey Ellis, Florian Mansmann
Citations558
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TL;DR

Information visualisation and geographic visualisation need information visualisation because they manage multi-valued data with complex topologies that can be visualised using their canonical geometry and 3D systems use specific types of interfaces that are very different to traditional desktop interfaces.

Abstract

Today, in many spheres of human activity, massive amounts of data are collected and stored. As the volumes of data available to lawmakers, civil servants, business people and scientists increase, their effective use becomes more challenging. Simply keeping up to date with the flood of data, using standard tools for data management and analysis, is fraught with difficulty. The field of visual analytics seeks to provide people with better and more effective means to understand and analyse massive amounts of data. It also seeks to enable them to act upon their findings immediately, that is, in real time. Visual analytics integrates the analytic capabilities of the computer and the abilities of the human analyst. In so doing it allows novel discoveries and empowers individuals to take control of the analytical process. Visual analytics opens the door to the discoveries and unexpected insights which lead to beneficial and profitable innovation. This book is the result of the VisMaster project, a coordination action funded by the European Commission to form a strong visual analytics research community.

Keywords

Computer ScienceBusiness, Management and Accounting