Uploaded byMartijn Zoet
Decision Model Canvas
The document discusses the structure of a decision model canvas, emphasizing the importance of various decision data attributes like volume, veracity, value, velocity, and variety. It cites insights from Paul Rogers and Marcia Blenko's article, highlighting the role of knowledge inputs and recommendations in decision-making processes. The content appears to focus on methods for improving decision-making in a competency center context.
Decision Model Canvas
- 1. Decision Model Canvas DerivationStructureDecision Data / Facts Source Knowledge Model Input Recommend AgreePerform Decide Volume Veracity ValueVelocity Variety Decision Data / Facts Source Knowledge Model Input Recommend AgreePerform Decide Volume Veracity ValueVelocity Variety Decision Data / Facts Source Knowledge Model Input Recommend AgreePerform Decide Volume Veracity ValueVelocity Variety Decision Data / Facts Source Knowledge Model Input Recommend AgreePerform Decide Volume Veracity ValueVelocity Variety Decision Data / Facts Source Knowledge Model Input Recommend AgreePerform Decide Volume Veracity ValueVelocity Variety Decision Data / Facts Source Knowledge Model Input Recommend AgreePerform Decide Volume Veracity ValueVelocity Variety EDM-Competence Centre The RAPID Elements are inspired from the article: “who has the D” written by Paul Rogers and Marcia Blenko who work at BAIN and Company