
Common Platform, Local Ownership: Scaling Data Products at Atlas Copco, with Tom Delesie
Om avsnittet
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
Fler avsnitt
Visa alla avsnitt av The Data Playbook PodcastThe Data Playbook Podcast med Dataminded finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.