Tax agencies have a limited amount of resources to pursue compliance activities in collections and audit. Because of this resource limitation, they are required to build criteria to determine which individuals and businesses to select for audit and which collection cases to focus their efforts on. Typically, this selection is based on experience that informs agency leaders on the types of businesses that generate productive audit leads and collection cases. While the selection process typically utilizes available data, cases are primarily selected based on experience, intuition, and business rules, rather than using predictive, mathematically generated analytical models.
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