Marco Schreyer
Thumbnail Image
Last Name
Schreyer
First name
Marco
Email
marco.schreyer@unisg.ch
ORCID
Phone
+41 71 224 79 13
Homepage
Google Scholar

Filters

3
Reset filters

Settings
Now showing 1 - 3 of 3
No Thumbnail Available
Publication

Artificial Intelligence in Internal Audit as a Contribution to Effective Governance - Deep-learning enabled Detection of Anomalies in Financial Accounting Data

2022-01-07 , Schreyer, Marco , Baumgartner, Marcel , Ruud, Flemming , Borth, Damian

View
No Thumbnail Available
Publication

Artificial Intelligence Enabled Audit Sampling - Learning to draw representative and interpretable audit samples from large-scale journal entry data

2022-03-07 , Schreyer, Marco , Gierbl, Anita Stefanie , Ruud, Flemming , Borth, Damian

View
No Thumbnail Available
Publication

Visual Exploration of Journal Entries to Detect Accounting Irregularities and Fraud

2014-11-14 , Tatu, Andrada , Schreyer, Marco , Hagelauer, Jan , Wang, Jixuan

Nowadays, companies and organizations register millions of accounting transactions each year. Although most of these journal entries are legitimate, auditors face legal and financial obligations to discover transactions that are fraudulent. In this work, we present a visual analytics workflow to quickly identify unusual transactions in accounting data. In a first step features are derived from journal entries and are clustered to identify transactional patterns. In a second step the data is visualized to support the identification and investigation of unusual transactions. Following this workflow auditors are given the chance to identify new suspicious transactions that might correspond to fraud. We evaluated the proposed approach in a real world scenario by analyzing accounting data and discussed the results with auditors.

View