Browsing All posts tagged under »Tealbook«

What are ProcureTech solution silos, and why must we break them down to succeed?

October 8, 2025

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When it comes to ProcureTech selection and implementation why do we have to stop looking at the trees and start managing the forest?

Coupa Acquisition Of Scoutbee And What It Means To TealBook And The Market In General

October 8, 2025

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A deeper assessment of the Coupa acquisition of Scoutbee - what does it reveal and why?

Proof Before Purchase: The HFS Gate That Ends Slideware (A DPW Strategy)

October 7, 2025

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How do you eliminate sunk costs completely and avoid vendor-funded R&D disguised as client evaluation?

TealBook Hansen Fit Score Assessment (DPW) Important Clarification

October 3, 2025

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What is the Technology Capability, Platform Behavioral Alignment, and CLIENT Behavioral score?

RAM 2025 Updated Assessment Of Tealbook (A Post Webinar Briefing)

September 18, 2025

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Why should this be the new model for practitioner-centric ProcureTech analysis and scoring?

Process archaeology and agent-based design work. Data quality aspirin doesn’t.

September 17, 2025

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Why isn't data cleansing alone enough, or will putting top grade fuel into a car with a bad or broken engine make it run better?

Tealbook’s Stephany Lapierre Confirms That Her Platform Is A Technology Optimization Model (Extended Discussion)

September 1, 2025

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Why is the 2007 "data problem" still an issue in 2025?

Tealbook’s Stephany Lapierre Confirms That Her Platform Is A Technology Optimization Model

August 31, 2025

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When it comes to data, why is the optimization model a Band-Aide Solution, and methodology model a fix.

The Myth About Data Cleansing: A Follow-Up To My Earlier Tealbook Post

August 30, 2025

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Are great ProcureTech companies like Tealbook handcuffed by restrictive or outdated business models?

Is Tealbook a technology optimization model for improving the way the world does work, versus a methodology-centric model that focuses on building for the way the world should work?

August 30, 2025

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How do you turn collective data into clean data?