🍎 Newton didn’t write about data quality. But he should have.
Inertia. Energy. Chain reactions. Three DM-books revealed the invisible forces that actually govern enterprise data.
⏩ TL;DR – Read the full story on my Substack: 🔗 The Physics of Enterprise Data
📚 In the first article of my new series “The Holy Trinity for Enterprise Data Foundations”, I compare Data Quality ROI (Gaurav Patole), Halo Data (Caroline Carruthers & Peter Jackson), and Meta Grid (Ole Olesen-Bagneux) – three essential reads for every data leader.
What I found:
➡️ They use Newton’s Laws, Atomic Theory, and Nuclear Fusion to explain invisible organizational forces
➡️ They share five identical goals but approach them from different angles
➡️ They converge on one principle: Humans build the foundation. AI accelerates.
My article covers:
⚛️ Why physics metaphors work for data management
🎯 The five shared goals all three books pursue
📘 What makes each book uniquely valuable
🧭 A diagnostic table to map your data problems to root causes
If you’re building a metadata foundation for AI, governance, or analytics, these three books belong on your shelf. And they belong in conversation with each other.
👉 Read the full story on my Substack: “The Physics of Enterprise Data”
🔗 Link: The Physics of Enterprise Data
My Track Record
Over nearly 30 years, I’ve been building exactly these bridges between business, processes, and data:
- At A1 Telekom Austria, I designed and implemented the Enterprise Information Architecture, later leading the development of the central Big Data Platform and Data Lake.
- I created frameworks for data ingestion, integration, and governance, replacing legacy systems with modern, scalable architectures.
- I’ve worked on data modeling, data warehouses, and BI systems that supported planning, reporting, and decision-making across the company.
- Today, I’m expanding my expertise into Machine Learning, Generative AI, and platforms like Databricks and Azure, making sure my architectural work fully enables next-generation AI solutions.
My passion has always been the same: turning data into clarity and business value.