Structured Data Analysis: Proving a Negative in Cases of Fraud
2020 has seen the world thrown into turmoil as a deadly virus continues to spread across the globe. To help manage the pandemic, governments have put into place measures to help businesses stay afloat. These measures have taken on many forms, from small business loans to supporting employee wages during lockdowns. Trillions have been spent but have all those benefiting from aide been on the receiving end in good faith? Not all.
It is estimated that upwards of 10% of claims, irrespective of jurisdiction or government scheme, are fraudulent. Even more were filed incorrectly or without a clear understanding of whether the corporation met the criteria for support in the first place. Governments across Europe and around the world are now looking to determine whether the funds provided were done so through fraudulent behaviour or were valid claims with evidence to prove the same.
One aspect of great concern includes whether employees who were asked to stay home in actually stayed home. Take the U.K. as an example. Under the British furlough scheme, 80% of employee wages were covered by the government during the period of forced lockdown. Quite literally overnight, on 26 March, the people of the UK were told not to go into work.