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

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

Om Podcasten

Welcome to the Data Science Conversations Podcast hosted by Damien Deighan and Dr Philipp Diesinger. We bring you interesting conversations with the world’s leading Academics working on cutting edge topics with potential for real world impact. We explore how their latest research in Data Science and AI could scale into broader industry applications, so you can expand your knowledge and grow your career. Every 4 or 5 episodes we will feature an industry trailblazer from a strong academic background who has applied research effectively in the real world. Podcast Website: www.datascienceconversations.com