SEFeb 16, 2016

Development and Experimentation of a Software Tool for Identifying High Risk Spreadsheets for Auditing

arXiv:1602.05231v14 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of efficiently auditing large quantities of spreadsheets for errors and fraud in organizations, though it is incremental as it builds on existing risk mitigation methods.

The paper tackles the problem of managing spreadsheet risks in organizations by developing a software tool called 'Risk Calculator' that automatically collects spreadsheet properties and assigns risk scores, enabling targeted auditing of high-risk spreadsheets to save time, effort, and money.

Heavy use of spreadsheets by organisations bears many potential risks such as errors, ambiguity, data loss, duplication, and fraud. In this paper these risks are briefly outlined along with their available mitigation methods such as: documentation, centralisation, auditing and user training. However, because of the large quantities of spreadsheets used in organisations, applying these methods on all spreadsheets is impossible. This fact is considered as a deficiency in these methods, a gap which is addressed in this paper. In this paper a new software tool for managing spreadsheets and identifying the risk levels they include is proposed, developed and tested. As an add-in for Microsoft Excel application, "Risk Calculator" can automatically collect and record spreadsheet properties in an inventory database and assign risk scores based on their importance, use and complexity. Consequently, auditing processes can be targeted to high risk spreadsheets. Such a method saves time, effort, and money.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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