Pacific Data Science

Pacific Data Science

Use Cases for Data Science

  • All Applications
  • Customer Engagement
  • Human Resources
  • Inventory Management
  • Operations
  • Risk Management
  • Risk Management

    Stamp Out Fraud

    More than 60 percent of all organizations, from large established institutions to small e-commerce startups, fall victim to payment fraud every year. Fraudsters are becoming more tech-savvy, exploiting vulnerabilities on an unprecedented scale, making it increasingly difficult for analysts to keep up. Furthermore, traditional detection methods often suffer from high false positive rates, flagging transactions that are actually legitimate and aggravating your valued customers in the process. Pacific Data Science improves upon your organization's static rules-based system with a more flexible and robust model that automatically adapts to rapidly changing fraud patterns. Partnering with us, your risk managers can reduce the amount of time they spend conducting costly manual reviews. Our approach empowers them to be faster and more effective at spotting unauthorized purchases, scrutinizing fraudulent insurance claims, validating the authenticity of new accounts, or reducing the frequency of chargebacks.

    ©2019 Pacific Data Science. All rights reserved.