Matching data is one of the key controls we use to manage the risk of fraud and non-compliance.
Matching data is a key way we identify possible fraud and non-compliance. When we match data we compare information we get from an outside source with our own.
- Privacy Act 1988
- relevant secrecy provisions in program legislation
We work closely with the Office of the Australian Information Commissioner (OAIC). This ensures our systems and practices for matching data are appropriate.
We also meet OAIC Guidelines on Data Matching in Australian Government Administration. We use these guidelines when we match data that does not involve matching Tax File Numbers (TFNs).
Our data matching protocols were made with the OAIC and meet the Data Matching Guidelines:
- 2004 PAYG data-matching protocol
- 2017 PAYG data-matching protocol
- 2016 Non employment income data-matching protocol
- 2017 Family day care data-matching protocol
- 2017 Trust beneficiary data-matching protocol
- 2017 Annual investment income report data-matching protocol
Non-Employment Income Data-Matching (NEIDM)
The NEIDM measure was developed in 2016 to better address a compliance risk which is only partly dealt with by our PAYG data matching activity. In particular, the NEIDM measure allows us to data match on non-employment related income reported to the ATO. This may include income received by independent contractors or income obtained through investments.
As with PAYG data matching, we conduct NEIDM in accordance with the Data Matching Guidelines. We developed our program protocol for the NEIDM measure in August 2016, in consultation with OAIC.
The Data-matching Program (DMP)
In 1991, we began data matching activities which involved the matching of TFNs under the Data-matching Program (Assistance and Tax) Act 1990 (DMP Act). Our activities were conducted in accordance with the DMP Act, and the Data-Matching Program (Assistance and Tax) Act 1990 Guidelines (statutory data-matching guidelines) issued under the DMP Act.