People on the frontlines of public-sector fraud management have considerable need to detect, monitor and prevent fraud in real time. They recognize that speed in analysis, detection, investigations and simulations is the key to minimizing taxpayer dollars lost to fraud. Read the report to learn more.
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.
Tax evasion is the largest economic crime in the world (in terms of monetary loss), costing trillions of dollars to governments around the globe. A 2011 study by The Tax Justice Network estimates that on a global scale, total tax evasion is in excess of US$3.1 trillion, or about 5.1% of world GDP.1 And thatís just the known tax evasion and noncompliance; it doesnít include the underground economy and cash businesses.
Tax revenues have been declining recently and some of this loss is caused by fraud, tax evasion, and various forms of tax cheating. The ineffective recovery techniques can give government agencies poor results, which results in 20% of broad-approach audits ending in "no charge". By using IBM SPSS Predictive Analytics Solutions it is possible to maximize revenues, analyze the data you already collect, detect non-compliant accounts efficiently, and identify important differences in tax records. This program has tremendous power and features an easy to use interface that focuses investigations on case that yield large adjustments ensuring a successful ROI for clients.
Published By: LifeLock
Published Date: Feb 24, 2017
Data breach and tax fraud continue to make the news, so itís important for employers to think about the subject in a more proactive way. Why wait until open enrollment to discuss this essential benefit? You can provide an immediate solution that empowers you to engage with employers now to help protect their employees immediately.
We often hear about how the massive volumes of data the US government collects hold a treasure trove of answers to our most challenging questions Ė be it on population health,
national security, education or how to recoup losses from tax fraud. If only the government could figure out how to make use of all that information.
Texas is one example of a government that is using analytics to solve complex problems. As the case studies here demonstrate, agencies and academia in the Lone Star State are putting big data and analytics to work to eliminate waste, improve productivity and, in some cases, even enhance transparency.