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👋 Welcome to the Data Governance Circle! Start Here!
I am excited to have you here 🎉 This space is for data professionals, analysts, students, and leaders who want to learn, share, and grow together around all things Data Governance — from data quality to AI readiness. 👉 Find all the ressources in the Classroom section! 👉 To kick things off, introduce yourself in the comments: - Who are you and what do you do? - What brought you here or what are you most curious to learn about data governance? - And tell us one fun fact about you (something unexpected, funny, or just cool 😄). We’ll get to know each other, share experiences, and start building a real community of data enthusiasts 💡 Welcome to the Circle 🔵 Let’s make data governance simple, practical, and fun together!
👋 Welcome to the Data Governance Circle! Start Here!
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Data Governance Circle Newsletter
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Need Information on the Implementation on stakeholders (Market Place)
Hi Everyone, I'm working in the Data Governance in the Informtica tool.Is their any possibility to implement stakeholders users groups implementaion
⚖️ The Overconfidence Trap: AI Adoption Eclipses Governance Capacity
From this article. As of late September 2026, a structural governance deficit has emerged across global enterprises. While 88% of organizations have integrated AI into at least one business function, only 8% maintain a comprehensive governance framework. Accountability remains diffuse: only 28% place direct AI risk ownership with the CEO, and a mere 17% with the board. The landscape is further complicated by shifting regulatory goalposts, notably the recent Regulation (EU) 2026/1744 deferring the EU AI Act's high-risk obligations to December 2027, while keeping Article 50 transparency rules active. Key Takeaways: - The Maturity Mirage: An alarming 74% of organizations believe they could pass an AI compliance audit today, yet only 27% describe their governance programs as fully mature, exposing a massive blind spot in risk assessment. - Undefined Risk Ownership: Decentralized AI adoption without clear executive accountability creates a vacuum where systemic harms—such as discriminatory decision-making and privacy violations—operate undetected until a breach occurs. - Patchwork Compliance: Operating across jurisdictions forces enterprises to navigate fragmented standards—such as the US state-by-state legislative approach versus the EU's centralized model—making unified, global data governance architectures highly complex to scale. Let's Discuss: -  The Audit Disconnect: If 74% of enterprises believe they are audit-ready but only 8% have comprehensive frameworks, how are you validating the actual maturity of a client's data fabric before signing off on their AI governance roadmap? - The Executive Vacuum: When advising boards or executing enterprise transformation, what deterministic mechanisms are you putting in place to enforce CEO-level accountability for shadow AI, rather than letting risk default to fragmented IT teams?
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I went quiet for two months. Here's why, and what I've been building instead of posting.
No dressed-up excuse. Two things landed at the same time: my second kid was born, and I changed roles. Both took everything I had left after work hours, and this community got zero of it. I'm not going to pretend I was quietly writing drafts in the background. I wasn't. But I did keep working on the things this community actually asked for, just slower than planned... None of it is fully polished. I'd rather ship something real and improve it with your feedback than sit on it until it's perfect. One question before I start posting again regularly: what's the governance problem costing you the most time right now? Drop it below, it's what I'll build and publish first. Thanks for being part of the community and for your trust :)
I went quiet for two months. Here's why, and what I've been building instead of posting.
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