Subscribe:
RSS feed
Delivering Understanding Beyond Insights
Browsing All posts tagged under »ZIP«
Why Did Ryan Meonske Leave Databricks Less Than A Year After Their ZIP Success Story? The Answer Reveals Why 80% Of ProcureTech Implementations Fail
October 29, 2025
When the procurement executive who championed your 'successful' technology implementation leaves the company, what happens to the initiative? History suggests you won't like the answer.
A MODEL 5/Level 1 To 3 HFS Assessment Of Ivalua, ORO Labs, ZIP, Zycus, And SAP Ariba
September 24, 2025
Besides the 2007 to 2025 Procurement Insights archives, what makes the Hansen Fit Score the most reliable for practitioners?
SAP Ariba vs. Zip: A Comparative Analysis through the Lens of Procurement Insights
July 23, 2025
What do their respective histories tell you about your potential success with SAP Ariba or ZIP?
2 Years Later How Does Amex’s Acquisition of Nipendo Impact Ramp (Who’s Ramp)?
April 9, 2025
Is this an ancient symbol of procurement success and prosperity?
ZIP, ProPurchaser, MS Excel: Which One Is Right For Your Procurement Organization Right Now?
December 20, 2024
Why isn't the practical harmonization of ProcureTech solutions a priority?
What are the top 10 procurement predictions for 2030?
December 11, 2024
What is the difference between seeing the future and learning the future?
ZIP Reaches Out
December 10, 2024
Procurement Predictions for 2025 - what awaits procurement in the new year?
Which Of The Following ProcureTech Practitioner Client Interviews Is The Most Helpful?
November 23, 2024
How much impact or influence do ProcureTech practitioner clients have regarding your decision-making process?
Ryan Meonske, well done. Greg Tennyson nails it!
April 4, 2024
What is Harry S. Truman's advice on digital transformation success?
Procurement Insights 
METHODOLOGY TRANSPARENCY: How I Validated the Databricks/ZIP Analysis Using 18 Years of Practitioner Archives
October 29, 2025
0
Traditional analysts give you snapshots. I give you the movie. 18 years of archives tracking what happened to 'success stories' after the press releases stopped—validated across 6 AI models. Here's the methodology.