Report

The Cost of Bad Data

Every procurement organization knows its supplier data has problems. Few have put a number on what those problems actually cost. As AI, ERP migrations, and M&A all put new pressure on the same fragmented vendor master, the price of bad data is no longer hiding in the background. It’s showing up in stalled AI pilots, blown migration timelines, and uncaptured merger synergies.

The hidden price of fragmented supplier data, and why AI, system migrations, and mergers are exposing it now.

What you’ll learn:

Why AI keeps stalling on bad data: How fragmented supplier records are the top barrier to scaling AI in procurement, and why production deployments expose data problems that pilots let you avoid
Why ERP and source-to-pay migrations inherit the same mess they were supposed to fix: What happens when duplicate, unresolved supplier records get moved into a new system faster than anyone can catch the errors
Why mergers multiply the cost of unresolved supplier data: How vendor masters double in size overnight, and why the procurement synergies acquirers count on sit locked inside data nobody has reconciled yet
Why the audience for supplier data has outgrown procurement: How finance, risk, and sustainability teams are all asking for the same thing, one trusted view of who your suppliers actually are
What leading procurement teams do differently: The five practices that separate organizations that have put a number on their data problem from those still guessing at it

Download the report to see what fragmented supplier data is actually costing your AI, ERP, and M&A initiatives, and how to fix it.