Data Strategy Evolved: How the Biological Model fuels enterprise data performance

Data Science Conversations - A podcast by Damien Deighan and Philipp Diesinger

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In this episode Patrick McQuillan shares his innovative Biological Model - a concept you can use to enhance data outcome in large enterprises.  The concept takes the idea that the best way to design a data strategy is to align it closely with a biological system.He discusses the power of centralized information, importance of data governance, and the necessity for a common performance narrative across an organization. Episode Summary -- Biological Model Concept- Centralized vs. Decentralized Data- Data Collection and Maturity- Horizontal translation layer - Partnership with vertical leaders - Curated data layers - Data dictionary for consistency- Focusing on vital metrics- Data Flow in Organizations- Biological Model Governance- Overcoming Inconsistency and Inaccuracy