The True Cost of Dirty Data in Procurement

The True Cost of Dirty Data in Procurement

In this week’s Proc N Roll, Conrad sits down with Stephany Lapierre, the visionary founder of Tealbook. They dive into the reality of modern procurement tech: why companies spend millions on "Ferraris" (expensive systems) only to fill the gas tanks with sugar and mud (bad data).

Stephany shares her journey from founding Matchbook to fixing the foundational data issues that plague modern source-to-pay processes. If you want to know why portal fatigue is holding your suppliers back, why LLMs won't magically clean your data, and how to pare down a massive vision into digestible steps to get stakeholder buy-in, this episode is a must-listen!


Timestamps:

(00:53) – Welcome & The Ferrari Analogy

(02:21) – Stephany's Journey: From Matchbook to Procurement Data

(07:15) – The "Scott" Problem: Data Gatekeepers of the 90s vs. Now

(13:42) – The Myth of the "Source of Truth"

(15:55) – The Million-Dollar Data Cleanup Nightmare

(26:41) – Entity Resolution: Which Stephanie are we actually paying?

(28:34) – Will AI Fix Bad Data? (Spoiler: No)

(31:17) – Lightning Round: Improving Supplier Onboarding

(34:11) – Leadership Lessons: Paring Down the Big Vision


About Proc & Roll

Proc n Roll is your go-to podcast for practical, no-nonsense insights into the world of procurement. Hosted by Conrad Smith, Zachary Bachir, and Natasha Gurevich. Whether you are looking to build a better operating model, adopt the latest in AI and tech, or transform your career path, we bring you the strategies and stories that matter.

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Episoder(64)

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