USD 4M of vendor work, done in-house in three weeks

Mapped more than 20 million plant equipment records to 200,000+ assets with Alteryx and machine learning.

USD 4M in vendor costs avoided

  1. The problem

    Finance needed plant equipment linked to its asset records: more than 20 million equipment records against 200,000+ assets. The alternative was paying a vendor to do it.

  2. My contribution

    I built the mapping automation in-house.

  3. Approach

    Alteryx workflows combined with machine-learning matching, so the records could be linked at scale instead of by hand.

  4. What changed

    20M+ equipment records mapped to 200K+ assets in three weeks, and USD 4M in vendor costs that were never incurred.

  5. Evidence

    • The USD 4M is cost actually avoided, not an estimate
  6. Tools and platforms

    AlteryxMachine learningAsset master data