In order to be more efficient and effective in detecting irregularities and fraud, the Social Insurance Bank (Banco de Previsión Social (BPS)) has built an integrated solution based on the use of modeling techniques and predictive analysis to select taxpayers to be audited (Integrated Solution for the Selection of Cases to Monitor or Solución Integral de Selección de Casos a Fiscalizar (SISCA)).

This solution enables the identification, analysis and selection of cases (based on taxpayer behaviour and the analysis of fiscal risk models), and to monitor results. Moreover, it is integrated to the existing information control and management systems.

This good practice presents the following advantages:

•  Increasing efficiency in the quality of taxpayers selection by using predictive models and by incorporating feedback from the results of previous selections.
   
• Increasing efficiency by automating processes, shortening the selection process from 5 days to 20 minutes.
   
• Improving the quality of information given to the auditor for the fieldwork, incorporating the taxpayer’s record.
   
• Implementing indicators and management reports.