Case Study: New York State Tax: How predictive modeling improves tax revenues and citizen equity

It’s one thing to analyze questionable tax refunds after they’ve been sent out, when the only option left is to pursue them – often to no avail. It’s another to detect questionable refunds before they are sent out, preventing the waste of resources and the loss of critical tax revenue. By integrating predictive analytics directly into its processing stream, NYS Tax is preemptively identifying questionable tax returns and optimizing its approach to collecting delinquent taxes. Since using predictive analysis, NYS Tax has decreased the revenue drain caused by questionable refunds by $1.2 billion, with another $400 million reduction projected in savings for 2011, while increasing collections by $100 million. Hear from Nonie Manion, Director of Tax Audits, New York State Department of Taxation and Finance, how in-steam analytics is changing the game.

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