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Mitigating the Risk of Fraud in Public Sector through Data Visualization

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Anti-fraud analytics have evolved from asking simple, rule-based questions of data, to letting the data tell a story through visualization, predictive models, anomaly detection, pattern recognition, and text-mining techniques. Data visualization is a way to intuitively display connections in your data and help zero in on bad actors.

In this 60-minute webinar, learn how data visualization can help your organization prevent and detect fraud more effectively.

Watch and learn about:

  • The benefits of data visualization
  • How to choose the right data visualization tool
  • Using data to detect and prevent fraud

This is part of the Public Sector: Fraud, Waste, and Abuse webinar series.

À propos des intervenants

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Linda Miller

Principal, Grant Thornton

Linda Miller leads Grant Thornton's fraud risk mitigation practice. She is an expert in helping organizations identify and manage their risks to fraud. Linda is a former Olympian in the sport of rowing, a dynamic speaker and a passionate advocate for diversity in the workplace.

Prior to joining Grant Thornton, Linda spent ten years at GAO, where she led the development of GAO's Framework for Managing Fraud Risks in Federal Programs (GAO 15-593SP). This framework was codified in statute with the signing of the Fraud Reduction and Data Analytics Act which requires federal agencies to adhere to the leading practices contained within it.

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Leigh Sheldon

Senior Manager, Public Sector, Grant Thornton

Ms. Sheldon is a Senior Manager with Grant Thornton, LLP’s Public Sector Practice in Arlington, VA and leads Grant Thornton’s Analytics Solutioning sub service line within the Advanced Digital Technology and Analytics practice. She has over 8 years of experience managing and delivering Agile-based delivery of analytic capabilities, focused on blending dashboards and algorithms, strategy and CoEs, and business/financial management initiatives.

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