Insight Workshops


Everyone is saying that “all the money is in data.” We all know intuitively that this is true in payments and commerce.

But what exactly is payments data? How do you get it? How do you use it? And how might you use it in the future?

This workshop explores payments data in all forms, both sources and uses. We break down payments data inside the purchase value chain and see where each data element comes from and what information is added on each step.

We’ll look at how payment data is monetized through economic modeling, merchant analytics, and other applications. Plus we’ll look at examples of AI technologies in payments, examining current uses and how the early-stage startup companies are using payments data.

  • Glenbrook's Payments Education Program is useful both for experienced managers, who often want to be updated on what’s happening in areas outside of their immediate domain, and for newcomers, who need a broad overview of the U.S. payments systems to create a context for their work.

  • Network with your peers
    Payments Boot Camp and workshop attendees enjoy opportunities to connect with other people in the industry, as well as with the Glenbrook team. Most two-day events have a networking reception at the end of the first day, and there are always chances to network during lunches and breaks.

  • Over 14,000 payments professionals have attended Glenbrook workshops. Attendees have included product, strategy, and sales managers, technology, operations, and risk managers, investors, inventors, and analysts, management teams from payments startups


1. Key Concepts

  • Introduction and role of payments data
  • Payments data across the domains
  • Meta questions in payments data

2. Who Knows What in Cards?

  • Card data fundamentals
  • What each party knows in the four box model
  • Payments data in transaction flow
  • What is enhanced card data?

3. Payments Data Monetization

  • Monetization areas – segments, examples
  • Major players and their focus areas
  • Key trends

4. Artificial Intelligence (AI) Applications in Payments

  • Natural Language Processing and Commerce
  • Facial Recognition and Authentication
  • Machine Learning and Risk
  • Machine Learning and Card-linked Offers
  • Next Generation Use Cases

5. Digital Wallet Data Wars

  • What digital wallets know
  • Variation by model – Apple Pay vs Android Pay
  • Token Data Elements and Implications

6. Merchant Analytics

  • How big data analytics is leveling the playing field
  • Key solutions providers
  • Variations by model

7. Payments Data Over the Horizon

  • Data Regulation
  • Data Messaging
  • Data Signals