Data Mining for Compliance

 

 

 

The following white papers are freely available for download and were produced in collaboration with SPSS Inc.

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Predictive Tax Compliance Management

Abstract: Both federal and state tax administration agencies must use their limited resources to achieve maximal taxpayer compliance. The purpose of this white paper is to show how data mining helps tax agencies achieve compliance goals and improve operating efficiency using their existing resources. The white paper provides an overview of data mining applications in tax compliance, from audit selection to collections management, and several case studies drawn from real-life projects.

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Data Mining for Audit Selection

Abstract: Tax agencies primarily use audits to ensure compliance with tax laws and maintain associated revenue streams. Audits indirectly drive voluntary compliance and directly generate additional tax collections, both of which help tax agencies reduce the “tax gap” between the tax owed and the amount collected. Audits, therefore, are critical to enforcing tax laws and helping tax agencies achieve revenue objectives, ensuring the fiscal health of the country and individual states. This white paper illustrates how tax administration agencies can leverage data mining technologies to better identify audit selection candidates and improve productivity.

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