Money matters: How the Republic of Ireland uses data to stamp out fraud

Fraudulent tax returns cost honest taxpayers money and hurt services. Working with Accenture helped the Irish government use analytics to provide a more robust service.

by David Stevenson
Last Updated: 20 Mar 2014

The Republic of Ireland’s Office of Revenue Commissioners had a problem. Too many non-compliant tax returns were slipping through the system unnoticed, and too many compliant tax returns were being incorrectly targeted for review.

Working with Accenture, the Revenue began to use analytics to look at existing cases of non-compliance and use them to build a profile that could predict non-compliant tax returns. New cases could then be identified and paused in real time, leading to more than €2.5 million of fraudulent or incorrect tax returns being identified by mid-2012.

Even more is expected to be saved in the future as word spreads about the efficiency of the new system, and as the system is refined thanks to dashboards that monitor the effectiveness of Accenture’s model.

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