How to Build a Data-Intelligence Startup within your Organization
summary
Claims that scaling data inside legacy firms requires a shared data platform (data as the core, not ERP) plus a data center of excellence embedding analysts into business teams, not a remote BI silo. Evidence: a sales forecasting failure where Salesforce opportunities never linked to invoices so conversion rate was unknown; tooling recommended: AWS, Python for batch, Kafka for realtime, Tableau/Power BI for front end. Budget signal: ~€3–5k/month cloud, ~€500k/year initial funding. A fully decentralized data mesh is judged impractical today; a hybrid model reduces shadow IT and speeds delivery.
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chapters (8)
- 0:00Introduction
- 3:50Data engineering over AI
- 8:00Centralized vs decentralized data
- 11:31Hybrid data organization
- 15:07Autonomous data teams
- 16:32Funding data initiatives
- 17:58Data platform with lakes
- 18:18Q&A
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