Presentation on theme: "Fraud Trends & Risks Effective Utilization of Data Practice - Florida Modernization (virtual environment) 90%+ applications received online (enhances."— Presentation transcript:
Fraud Trends & Risks Effective Utilization of Data Practice - Florida Modernization (virtual environment) 90%+ applications received online (enhances ID Theft risks) FTC Data http://www.ftc.gov/sentinel/
Florida DCF Anti-Fraud Platform Modern Business Practices Implementing practices, data analytics, and tools from the private sector Prevention/Early Intervention Move away from pay and chase Stiffer controls/penalties State Empowerment / Administrative Flexibility Remove red tape Increased efficiencies
What is Customer Authentication? Dual Process of Verification and Authentication DCF contracted with LexisNexis to provide automated identity verification and authentication as part of the online application process Utilizes security protocols similar to the banking industry Prior to e-signature, the application displays questions designed to be answered by the applicant. The questions are developed based on the person's history and presented in a way that only the person completing the application should know the answers.
Pilot Project March 4, 2013- June 16, 2013 Circuits 5 & 9: Orlando and Ocala Flexible design which allowed for changes in specifications during pilot Results Customer Experience Vendor Performance Efficiency Fraud Avoidance
Data Analytics Asset Verification System Address analytics Social media monitoring Excessive card replacement/ PIN monitoring New EBT fraud tools The Work Number – real time employment/income data Increased Automated Data Matching
Aggressive Media and PR Campaign – engage the public Kick-Off May 2013 - Its not IF we catch you, its WHEN! New fraud webpage, monthly press releases on initiatives, push notifications, social media, YouTube videos, etc.
Redesign Benefit Recovery Business Practices Rebid of benefit recovery collections contract Reorganization of staff and key business practices Prioritization model based upon likelihood of collections on a claim