Data Foundation Mistakes: Building Before Proving Value

Modern data teams build pipelines quickly. But when the meaning of the data isn't defined first, problems follow: • Conflicting definitions • Semantic drift • Friction between teams In the Data Engineering Podcast, host Tobias Macey speaks with Jamie Knowles and Ryan Hirsch from ER/Studio about how data architecture and logical modeling help organizations build scalable data platforms. 🎧 Listen to the episode. https://lnkd.in/eJSvsrDt #DataEngineering #DataArchitecture #DataModeling

Data pipelines move data, but architecture defines meaning. Without that foundation, scale often leads to confusion. Interesting discussion for data leaders and engineers alike. 🔗 https://lnkd.in/eJSvsrDt

In this episode, I am joined by Steven A. Willard, an experienced data professional. We explore topics such as the evolution of data maturity, the significance of automation in data processes, and how to cultivate a strong data culture within organizations. They also discuss how to simplify complex data structures using concepts like star schemas. Listen to the podcast to learn more. https://bit.ly/4g2SboC #CanopyAnalytic #MakingBetterDecisions #Data #Podcast #DataProcesses

I have discovered my sweet spot job in the past year. If you have not yet heard about the Data Value Architect role. We have started a podcast of a 8 week series to explain exactly what a DVA does. In short it is the golden key for getting VALUE out of DATA. https://lnkd.in/d7p672zt

I’ve just finished recording the final episode of my Data Product series on The Data Journey Podcast. From Episode 61 through 72, this arc explored what it means to treat data as a product, not an artefact, not a dashboard, not a pipeline. It covered: Episode 61: What a Data Product Really Is (and What It Isn’t) Episode 62: The Anatomy of a Good Data Product Episode 63: Data Products vs Reports vs Datasets Episode 64: Designing Data Products for Consumers, Not Producers Episode 65: Ownership Models: Who Is Accountable for Value? Episode 66: Data contracts in practice (not theory) Episode 67: Measuring Data Product Success: Reuse, Adoption, and Trust Episode 68: Why Most Data Products Fail Episode 69: Killing Bad Data Products: Sunsetting Properly Episode 70: Data Marketplaces and Discovery: Finding what actually matters Episode 71: Customer 360 as a Data Product: An End-to-End Example (live next week) Episode 72: From Project Delivery to Product Thinking (live next week) No hype. No new buzzwords. Just a disciplined look at ownership, trust, lifecycle, and accountability for value. Thank you to everyone who’s been listening, sharing, and engaging along the way. If data products are something you’re wrestling with in your organisation, this arc might be useful. Listen here: Spotify – https://lnkd.in/dtAVBhKr Apple Podcasts – https://lnkd.in/dB7P-r4z

In our newest episode of the Data Wars Podcast, Ash and I sit down with my good friend Vinay (M.S) Simha—globally recognized Enterprise Data Strategist, Top 100 AI Maker, and Founder of Strategic Business Networks. Instead of just talking tech, we went deep into the human side of modern leadership: 🔷 The unfiltered reality of leaving a promised paycheck to become a founder and what the first 100 days looked like 🔷 Why the best leaders aren't the loudest, but the most authentic and show their vulnerabilities. 🔷 How to uplift and empower young data professionals in a volatile market. If you’re trying to find your "North Star" amidst the AI hype and market chaos, Vinay's perspective is exactly what you need today. 🎧 Watch the full conversation here! 👇 #DataStrategy #Leadership #DataWarsPodcast #FutureOfWork #MDM

What happens when you walk away from “golden handcuffs”… to build a data-first future in the age of AI? In the latest episode of Data Wars Podcast, Ash Srivastava and Prash Chandramohan sat down with Vinay (M.S) Simha (Founder, Strategic Business Networks) — a veteran data leader with 25+ years in enterprise transformation — to unpack what most organizations still get wrong about AI, data strategy, and leadership. This wasn’t just a conversation about tools or platforms. It was about purpose, clarity, and the human side of data leadership. Here are a few takeaways you’ll want to steal: ✅ AI doesn’t fix messy data. It amplifies it. Vinay breaks down why companies chasing “AI-ready” without nailing the basics are setting themselves up to fail. ✅ Vision comes before vendors. Always. If leadership can’t clearly articulate why they need a “360 view,” the strategy will collapse under its own weight. ✅ Aadhaar + UPI is a masterclass in trusted identity + network effects. One of the best real-world examples of how **master data at scale** unlocks speed, inclusion, and massive cost reduction. ✅ The best leaders don’t focus on what they did—they focus on who they build. A powerful segment on mentoring Gen Z / Millennials through anxiety, comparison culture, and uncertainty. If you’re a data leader, architect, governance professional, or anyone trying to make AI real inside an enterprise — this episode will hit home. 🎧 Watch/Listen Now: ▶️ YouTube: https://lnkd.in/gaMkGUd4 🎵 Spotify: https://lnkd.in/gHn5yqhQ 🍎 Apple Podcasts: https://lnkd.in/g6f59GHV 💬 What’s the biggest blocker you’re seeing to “AI-ready” in your org — data quality, strategy, or leadership alignment? #DataStrategy #DataGovernance #MasterDataManagement #AI #Leadership #DigitalTransformation #DataArchitecture #DataWars #UPI #Aadhaar

Are you drowning in data, yet starving for actionable insights? It's a paradox many leaders face: vast digital oceans promise incredible insights, yet crucial business intelligence remains elusive when needed most. The core issue isn't a lack of information; it's a fundamental gap in structured, accessible, high-quality data. Poor data management transforms valuable information into a source of frustration, leading to missed opportunities and suboptimal decision-making. In this week's 6-minute episode, Keith unpacks why simply accumulating terabytes isn't enough. We reveal the critical shift required to move beyond data accumulation and towards actionable intelligence. Learn how to simplify, standardize, and automate your data storage infrastructure. This discussion offers proactive strategies for robust data governance, ensuring your information becomes a strategic asset—not a source of complexity. Perfect for executives and decision-makers looking to prioritize "foundation before innovation." 🎧 Tune in now to stop drowning in data and start driving insight-led decisions. What's the biggest challenge your team faces in leveraging your data effectively? #TheUnstructuredEngineer #AITransformation #DataStrategy #DigitalTransformation #OperationalEfficiency

Are you drowning in data, yet starving for actionable insights? It's a paradox many leaders face: vast digital oceans promise incredible insights, yet crucial business intelligence remains elusive when needed most. The core issue isn't a lack of information; it's a fundamental gap in structured, accessible, high-quality data. Poor data management transforms valuable information into a source of frustration, leading to missed opportunities and suboptimal decision-making. In this week's 6-minute episode, Keith unpacks why simply accumulating terabytes isn't enough. We reveal the critical shift required to move beyond data accumulation and towards actionable intelligence. Learn how to simplify, standardize, and automate your data storage infrastructure. This discussion offers proactive strategies for robust data governance, ensuring your information becomes a strategic asset—not a source of complexity. Perfect for executives and decision-makers looking to prioritize "foundation before innovation." 🎧 Tune in now to stop drowning in data and start driving insight-led decisions. What's the biggest challenge your team faces in leveraging your data effectively? #TheUnstructuredEngineer #AITransformation #DataStrategy #DigitalTransformation #OperationalEfficiency

Last week, Julien Redmond from Ignition Data visited us on the sunny south coast of England. Neil Strange recorded a podcast episode with him to discuss a real healthcare transformation where multiple hospitals moved toward a central patient management system. In the episode, they broke down: ✔️ Why architecture flexibility matters more than tools ✔️ How to keep reporting uninterrupted during system swaps ✔️ What actually causes transformation programmes to derail Listen to the full episode: https://lnkd.in/e6dTP9n8