Prototype Details
Prototype:
Community Detection
Researcher:
Bernhard Göschlberger
Competence:
Data Analytics
Studio:
Data Science / MoKnowLab
Community Detection on Fiscal Risk Assessment
What innovations does the prototype offer?
- The majority of all taxable entities fulfil tax and duty obligations. In an example based on real data, for example, only 0.6% of all audited subjects are non-compliant. However, in the group of subjects with a community risk score above a certain threshold, this percentage is more than three times higher. Together with other factors, this can increase the accuracy of audits:
- Higher hit rate
- Greater increase in test results
- With constant test intensity
