Taxonomy of User Intention and Benefits of Visualization for Financial and Accounting Data Analysis

Abstract

Abstract. We propose а new multidimensional and multivariate taxonomy for information visualization. This taxonomy takes into consideration users' intentions and the benefits of visualization for analysts, businessmen and managers who use financial and accounting data. To explain the proposed taxonomy, a taxonomic framework has been defined. The framework contains three groups of attributes classified according to visual techniques and their capabilities. We have analyzed and coded several multidimensional and multivariate visualization techniques. Creating this kind of a taxonomic model for visualization of multidimensional and multivariate financial or accounting data implies a possibility for introducing an automatic selection of a visualization technique and the best visual representation.

Business information visualization intellectual contributions: An integrative framework of visualization capabilities and dimensions of visual intelligence

“…Some of the common exploratory tasks include: observing specific data point, patterns or outliers, making inferences, comparing to one's own prior knowledge, generating hypotheses and drawing analogies [33]. The benefits of automated selection of data representation format ( [35,36]. These and other exploration and interaction enabling developments greatly simplified the…”

“…From the perspective of model based reasoning, interaction was assessed through the purposes of external anchoring, information forging and cognitive offloading [39]. Taxonomy based on the user intention, visual effects, and the possibility of selection and interaction with data was proposed with focus on user's purpose and benefits of visual analysis [35].…”

Datenvisualisierung und Business Intelligence – Methoden zur Unterstützung der Entscheidungsfindung

“…Weiterhin ist durch das Aufkommen mehrdimensionaler Berichterstellungstechnologien ein Bedarf an dynamischen Visualisierungsmöglichkeiten gewachsen (vgl. Savoska & Loshkovska, 2014;Mansmannn & Scholl, 2008). Nur so können Aktivitäten wie Schlussfolgern, Generieren und Testen von Hypothesen, Identifizieren von Beziehungen und Extrapolieren optimal unterstützt werden.…”