A Penny Saved is a Penny Earned

A Glimpse into How a Payments Fintech Is Using Machine Learning to Identify and Reduce “Downgraded” Interchange Fees

Join PaymentsEd and Ingenico ePayments as they demonstrate how to use data mining, data science, and data analytics to optimize interchange costs. Also, take a glimpse into a merchant case study to see an example of how a payments fintech is using machine learning to identify and reduce “downgraded” interchange fees.

Key Learning Points:

  • Interchange downgrades & examples
  • Machine learning methods
  • Steps to develop an end-to-end process to easily interpret data
  • How this information can be applied through a merchant case study

Presenter:

Presenter: Dale Johnson, Pricing Intelligence Analyst, Global, Ingenico ePayments

When:

Tuesday, August 28th, 2018 1pm ET/10am PT

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