The Data Analysis Canvas™
From first insight to proven value — the full journey of a data analysis project
Where the Black Box Canvas™ mainly bridges business and technology before a project starts, the Data Analysis Canvas™ goes a step further: it guides the entire journey of a data analysis project, from first insight all the way through to evaluation after launch. The canvas is based on the Machine Learning Canvas by Louis Dorard, adapted by Maarten Vanhoof (Craftzing) and further developed by Joachim De Vos for Why Data Wins.
Ten blocks, spread across three phases — CREATE INSIGHT, USE INSIGHT and EVALUATE — force a team to keep asking the same core question: is this better than what we have today, and does it genuinely change end-user behaviour? Value is deliberately measured in behaviour, not model accuracy — an AUC or F1 score is not, on its own, a success criterion.
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Download the Data Analysis Canvas™
Choose the blank version to work through for your own project, or the filled-in example to see it in practice — based on the same fictional churn case as the Black Box Canvas.
Blanco canvas (NL)
Het volledige canvas met alle tien de bouwstenen, klaar om zelf in te vullen voor je eigen project.
Download PDFIngevuld voorbeeld (NL)
Hetzelfde canvas, volledig uitgewerkt aan de hand van een churn-voorspelling.
Download PDFBlank canvas (EN)
The full canvas with all ten building blocks, ready to fill in for your own project.
Download PDFFilled example (EN)
The same canvas, fully worked out with a churn-prediction example — see how each block works in practice.
Download PDFWhat could Why Data Wins do for your organization?
Discover how a keynote or executive workshop based on Why Data Wins can help your organization turn data into insight and impact.