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

Springer papers

Authors

Snezana Savoska and Suzana Loshkovska

Abstract

We propose a 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.

Keywords

data visualization; taxonomy; financial and accounting data; user’s design model; multi-dimensionality