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Artificial Neural Network Assistant (ANNA) for Continuous Auditing and Monitoring of Financial Data

Eija Koskivaara, Barbro Back, Artificial Neural Network Assistant (ANNA) for Continuous Auditing and Monitoring of Financial Data. Journal of Emerging Technologies in Accounting 4(1), 29–45, 2007.

http://dx.doi.org/10.2308/jeta

Abstract:

This paper presents the development and applications of ANNA—Artificial Neural Network Assistant (ANNA) for continuous auditing and monitoring of financial data. The prototype presented here provides automatically six types of expectation values for account values and compares them to the actual values. In this study, ANNA is used for analyzing monthly account values. ANNA's predictions or account expectations are based on function approximation (modeling) capability from the previous years' monthly account values. ANNA uses a flexible one‐step‐ahead prediction model. The results are illustrated both by a graph on the computer screen and in the tables. The evaluation of results show that artificial neural networks technology is competitive compared to other methods used in this study.

BibTeX entry:

@ARTICLE{jKoBa07a,
  title = {Artificial Neural Network Assistant (ANNA) for Continuous Auditing and Monitoring of Financial Data},
  author = {Koskivaara, Eija and Back, Barbro},
  journal = {Journal of Emerging Technologies in Accounting},
  volume = {4},
  number = {1},
  publisher = {American Accounting Association},
  pages = {29–45},
  year = {2007},
}

Belongs to TUCS Research Unit(s): Data Mining and Knowledge Management Laboratory, Network Economics Institute

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