The Data Playbook Podcast

Dataminded

🎙️ The Data Playbook is a podcast where we aim to build a playbook for data leaders. We do that through a series of interviews with other data leaders, data practitioners and data experts. In each episode, we break down real-world data challenges: from building modern architectures and embracing Data Mesh to navigating cloud sovereignty, we help you make smarter decisions one play at a time.

  1. 17h ago

    Common Platform, Local Ownership: Scaling Data Products at Atlas Copco, with Tom Delesie

    Tom Delesie, data analytics manager at Atlas Copco, joins host Kris Peeters to talk about building a common data platform for a global, decentralised company. His team brought several platforms together into one Intelligence Hub, giving every team the same foundations while leaving ownership of data products with the business. Tom explains how templated rooms give teams a shared way of working, why some work is deliberately kept out of the reusable layer, how transparent costs and open visibility encourage reuse, and why a clearly written purpose matters as much as good engineering. He also shares how the platform is getting ready for AI agents. Resources shared by Tom: 🎥 Enabling the things that shape our lives, Atlas Copco Group: https://www.youtube.com/watch?v=sk3QfMgPyZM 🏭 Atlas Copco: https://www.atlascopco.com 💼 Jobs at Atlas Copco: https://www.jobs.atlascopcogroup.com 🌐 More at www.dataminded.com Chapters: 0:00 Introduction 0:37 Atlas Copco and its four business areas 3:09 Tom's role: platform and use cases5:46 From five data platforms to one Intelligence Hub 7:30 Decommissioning legacy platforms 9:11 Aligning platform leaders across business areas 11:05 Balancing freedom and ownership 14:57 Transparent costs and an internal data economy 18:13 Reuse, access requests and sensitive data 22:05 Shared and private data products 24:06 The data product room 29:39 Deprecating data products 30:01 Why a clear purpose drives adoption 33:10 Operational entities and consumption rooms 36:26 Self-service and enablement teams 40:20 AI agents as new platform users 43:01 Dashboards, semantic layers and KPI definitions 47:30 Freedom first, convergence later Guest: Tom Delesie, Data Analytics Manager, Atlas CopcoHost: Kris Peeters, CEO, Dataminded

  2. Oct 15

    How to Get the Business Behind a Data Platform Migration, with Raghid Bsat

    Raghid Bsat, data platform engineer at Dataminded, joins the Data Playbook podcast to explain why a data platform migration is 75% analysis and 25% execution. With host Kris Peeters, CEO of Dataminded, he walks through the five phases in his migration guidebook: vision, governance, discovery, execution and cutover. They cover how to win over business stakeholders who see no reason to change a working system, when to lift and shift and when to refactor, and how migrator and validator AI agents now handle much of the execution. Raghid also shares what makes the next migration easier: tests, documentation and vendor-agnostic tooling. 📘 Read the Migration Guide: https://migrations.cloudrun.datamaturitytest.com/ Chapters:0:00 Introduction1:03 Why engineers dread migrations2:47 Why companies migrate: cost, licences and sunset products4:08 The payoff: less maintenance on the new platform5:44 The migration guidebook and its five phases7:22 Tier one and tier two migrations8:02 Phase 1: vision and success criteria11:34 Phase 2: governance and stakeholder management13:06 Lift and shift or refactor18:08 Handling new feature requests during a migration20:55 Replicate the legacy bug or fix it23:42 Phase 3: discovery and the source-to-target dependency map29:22 When the source systems are deprecated too32:31 Phase 4: execution with AI agents35:54 Validation and faster feedback loops38:17 Phase 5: cutover and decommissioning41:53 How to reduce future migrations45:20 Data problems are social problems 🌐 More at ⁠⁠www.dataminded.com⁠⁠

  3. Sep 16

    Data Producer Enablement and Developer Experience for Data Teams - The Data Playbook podcast episode with Andrew Jones & Kris Peeters

    Andrew Jones, staff data engineer at LocalStack, returns to the Data Playbook podcast to make the case that giving business teams raw access to company data was never enough. The real fix is data contracts, tooling built around how producer teams already work, and platforms with guardrails baked in rather than bolted on through review. Jones and host Kris Peeters, CEO of Dataminded, cover a data platform that failed because it forced producers into unfamiliar tooling, and the one that replaced it by meeting those same teams where they already worked. They also dig into where self-service stops, why so many data teams hold onto being the bottleneck, and what happens to data semantics once AI agents start asking the questions people used to ask. Jones tells the story of an internal chatbot that gave him a feature-usage number he knew, on instinct, had to be wrong. 🌐 More at www.dataminded.com

  4. Sep 2

    Data Contracts and Data Products: What AI Agents Need to Access Enterprise Data - The Data Playbook podcast with Simon Harrer & Kris Peeters

    Simon Harrer, CEO and co-founder of Entropy Data, returns to the Data Playbook podcast to make a case every data leader will need to reckon with soon: AI agents need access to company data, and the access controls built for humans do not hold once an agent can request, use, and reuse that access without anyone reviewing it. Simon Harrer and host Kris Peeters, CEO of Dataminded, unpack the difference between data contracts and data products, how purpose-based access control catches an agent that drifts from the purpose it was granted, and what a semantic layer does for a company's data model, connecting an order ID in one system to the same field under a different name in another. They also get into data lineage, the return of data mesh now that agents need a foundation to work from, and the data product builder Simon Harrer's team runs on Claude Code. The conversation draws on the BARC research spotlight Entropy Data sponsored, "A Data Marketplace Is What Your Agents Need," written by BARC analyst Florian Bigelmaier. 🌐 More at www.dataminded.com

  5. Aug 20

    Data Mesh After the Hype: Why Data Products Matter More Than Ever

    Many organisations embraced Data Mesh. Many also discovered that organisational change is much harder than technology change. In this episode, Kris Peeters speaks with Arif Wider about what remained valuable after the initial hype around Data Mesh settled. They discuss why Data Products have become the practical foundation for modern data organisations, where Data Contracts fit into the picture, and how organisations can modernise legacy platforms without starting over. The conversation also looks ahead at AI-assisted software engineering, cross-company data sharing, and the skills future data teams will need. Topics include: Data Mesh in practiceData ProductsData ContractsData ArchitectureLegacy data warehousesAI agents in software engineeringThe future of data engineering🌐 More at https://www.dataminded.com/ Connect with Arif Wider Website: http://arifwider.comResearchGate: https://www.researchgate.net/profile/Arif-WiderBook - Data Mesh in Action: https://www.oreilly.com/library/view/data-mesh-in/9781098108502/

  6. Aug 5

    Why AI Agents Need Knowledge Graphs, Not Just Data - The Data Playbook Podcast with Kris Peeters & Eric Broda

    Very few companies manage 10,000 of anything today, and Eric Broda thinks that's the real challenge behind AI agents at scale. Broda runs Broda Group Software, helping banks and insurers build agent ecosystems he calls the agentic mesh. With host Kris Peeters, CEO of Dataminded, Broda explains why agents need a data mesh foundation, why one client tracks R&D tax credit exposure by watching code commits in real time, and why his team moved from fine-grained knowledge graphs to coarse markdown files after RAG broke down at scale. Find Eric Broda's work at agenticmesh.substack.com and on LinkedIn and YouTube under The Agentic Mesh Podcast. 🌐 More at www.dataminded.com

  7. Jul 22

    How Tomorrowland Keeps Data Simple While Scaling Globally

    Modern data platforms are becoming more powerful. They are also becoming more complex. In this episode of The Data Playbook, Kris Peeters talks with Wannes Rosiers, Head of IT & Development at WEAREONE.world, the company behind Tomorrowland, about why many organisations solve familiar data problems with increasingly complicated technology. They explore what actually matters when building data platforms: delivering quickly, keeping systems maintainable, bringing business knowledge closer to engineering teams, and preparing for AI without rebuilding the entire technology stack. The conversation covers: Data platform architectureData MeshData engineeringAI adoptionPlatform simplicityData leadershipEnterprise architecture🌐 More at https://www.dataminded.com/

  8. Jul 8

    How NMBS/SNCB Uses Data Science to Improve Public Transport

    Building advanced analytics is rarely a technology challenge alone. Success depends on understanding the organisation, delivering value incrementally and enabling teams to solve real operational problems. In this episode, Kris Peeters speaks with Max Hubeau, Manager of the Advanced Analytics Team at NMBS/SNCB. They discuss how a central analytics team works alongside business teams, how data science supports train punctuality, passenger counting and energy forecasting, and why AI becomes valuable when it fits existing operations instead of disrupting them. The conversation also explores data platforms, AI-assisted development, and practical lessons for CIOs, CDOs, Heads of Data and analytics leaders building data capabilities inside large organisations. 🌐 More at https://www.dataminded.com/ Follow Dataminded for more conversations with data leaders shaping the future of Data & AI.

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About

🎙️ The Data Playbook is a podcast where we aim to build a playbook for data leaders. We do that through a series of interviews with other data leaders, data practitioners and data experts. In each episode, we break down real-world data challenges: from building modern architectures and embracing Data Mesh to navigating cloud sovereignty, we help you make smarter decisions one play at a time.

Information

  • Creator
    Dataminded
  • Years Active
    2025 - 2026
  • Episodes
    36
  • Rating
    Explicit
  • Copyright
    © Dataminded
  • Show Website
    The Data Playbook Podcast