Performing financial benchmarks in today's information-rich society can be
a daunting task. With the evolution of the Internet,access to massive amoun
ts of financial data, typically in the form of financial statements, is wid
espread. Managers and stakeholders are in need of a tool allowing them to q
uickly and accurately analyze this data. An emerging technique that may be
suited for this application is the self-organizing mop. The purpose of this
study was to evaluate the performance of self-organizing maps for the purp
ose of financial benchmarking of international pulp and paper companies. Fo
r the study, financial date, in the form of seven financial ratios, was col
lected, using the Internet as the primary source of information. A total of
76 companies, and six regional averages, were included in the study. The t
ime frame of the study was the period 1995-99. A number of benchmarks were
performed, and the results analyzed based on information contained in the a
nnual reports. The results of the study indicate that self-organizing maps
can be feasible tools for the financial benchmarking of large amounts of fi
nancial data.