|
|
|
|
 |
|
September 2003, Volume 2, Number 3, Pages 171-181
|
|
|
|
|
Table of contents Previous Full text Next PDF
|
|
|
|
| Original Article |
|
| Using the self-organizing map as a visualization tool in financial benchmarking |
|
| Tomas Eklund1, Barbro Back2, Hannu Vanharanta3 and Ari Visa4 |
|
1Turku Centre for Computer Science and IAMSR/Åbo Akademi University, Lemminkäisenkatu 14 B, Turku, Finland
2Department of Information Systems, Åbo Akademi University, Lemminkäisenkatu 14 B, Turku, Finland
3Tampere Univeristy of Technology, Pori, Pohjoisranta 11, Pori, Finland
4Tampere University of Technology, Department of Information Technology, Hermiankatu 12C, Tampere, Finland
|
Correspondence to: Tomas Eklund, Turku Centre for Computer Science and IAMSR/Åbo Akademi University, Lemminkäisenkatu 14B, Turku 20520, Finland. Tel: +358 2 215 3352; Fax +358 2 215 4809; E-mail: toeklund@abo.fi |
|
|
| Abstract |
| In this paper, we illustrate the use of the self-organizing map technique for financial performance analysis and benchmarking. We build a database of financial ratios indicating the performance of 91 international pulp and paper companies for the time period 1995-2001. We then use the self-organizing map technique to analyze and benchmark the performance of the five largest pulp and paper companies in the world. The results of the study indicate that by using the self-organizing maps, we are able to structure, analyze, and visualize large amounts of multidimensional financial data in a meaningful manner.
Information Visualization (2003) 2, 171-181. doi:10.1057/palgrave.ivs.9500048 |
|
| Keywords |
| Financial performance; benchmarking; visualization; self-organizing maps; pulp and paper industry |
| Received 28 January 2003; revised 19 May 2003; accepted 27 August 2003 |
|
|
Table of contents Previous Full text Next PDF
|
|
|
|
|
