132 results found

This is a signal model for the Overdrachtsbelasting (OVB). The model checks whether claims for the OVB start-up exemption or the reduced OVB rate are correct. The throw-out reasons follow (in)directly from the law. If a return meets one of the throw-out reasons, there is a chance that the claim (exe...

This page contains information about the 'OB Negative' algorithm. This algorithm supports the tax inspector in determining which turnover tax returns with a negative balance (a tax refund within the small and medium-sized enterprise (SME) target group) should be assessed manually.

The algorithms OBVP and OBVA support Inland Revenue employees in combating sales tax return omissions. OBVP focuses on preventing failure to file or late filing of returns. OBVA deals with entrepreneurs who have not filed a return when they were obliged to do so.

The 'OB Balance Payables' algorithm helps the Tax and Customs Administration employee detect remittance differences. A remittance difference occurs when it appears that, based on the most recent income tax or corporate tax return, more sales tax was due than was declared for that year.

This page contains information about the 'OB Carousel Fraud' algorithm. This algorithm helps the Inland Revenue find possible carousel fraud.

CRS / FATCA is a selection tool used to select sizeable CRS/FATCA signals that meet criteria of the Concealed Assets programme.

The algorithm detects and selects text from notarial deeds for monitoring the correct registration of the notarial deed and levying and collecting taxes.

This page provides information about the algorithm 'IECD_IH' - Information Extraction and Classification of Documents for Income Tax. This algorithm reads incoming letters to categorise them to the appropriate department within the Inland Revenue.

This page contains information about the algorithm 'Signal Model Tax Obligation Stivers'. This algorithm helps employees of the Inland Revenue monitor the presence of tax liability and return obligation of foundations and associations (Stivers).

This algorithm helps Tax Administration staff in the timely detection of potentially incorrect and/or incomplete returns to improve supervision of the group of start-up entrepreneurs.