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MBA Training Data

MBA Training

MBA Training Data. Strategy in data governance, architecture, analytics and AI, for data leaders and aspiring CDOs. New episodes every week, transcripts at mba-training.com.

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  1. Patient matching: cap overlays before chasing duplicate rates 10:32
  2. Reddit login wall: a price tag on its AI data licensing 8:30
  3. ETS data breach: one stolen SFTP login exposed student records 9:25
  4. NAV error threshold: back-solving reconciliation tolerances 10:51
  5. Asos hack: why marketing tools hold your Snowflake keys 9:39
  6. dbt State and agent-ready data: why declared meaning comes first 10:30
  7. ARTEX bank breaches: why side-door data access is a CDO issue 10:00
  8. UK GDPR Article 21: 44,000 objections hit NHS Palantir 9:20
  9. dbt State: lag_tolerance is now a budget decision 9:19
  10. SB 947: proving who reviewed an AI firing call 10:26
  11. Churn models in telecom: why uplift beats accuracy 4:47
  12. AI slop detectors: why filtering training data backfires 4:36
  13. Cross-agency data: why 70% of failures are semantic 5:02
  14. Amazon's data flywheel: twelve years of engineering 4:52
  15. Boeing component traceability: pay for the birth record 4:52
  16. Semantic layers: one revenue number for the board 4:43
  17. Identity resolution in pharma: one HCP, six records 4:55
  18. AI agents querying your warehouse: measure before rebuilding 4:36
  19. AML pipelines: three design calls examiners test 5:16
  20. DuckDB and text-to-SQL: redesign the analytics team 4:59
  21. Grey market leaks: Richemont's serial number fix 5:04
  22. Data flywheel: why loop latency beats data volume 4:49
  23. MES and ERP integration: the real Siemens Amberg win 5:17
  24. ML in production: why models die after the notebook 4:51
  25. Data literacy: measure decision quality, not training 4:49
  26. GDPR retention and minimization: the real compliance gap 4:51
  27. Alternative credit scoring: how Tala lends without bureaus 5:03
  28. Luxury waitlist allocation: building a defensible scarcity model 5:11
  29. Mistral's $3.5B raise: why open weights favor portability 4:51
  30. Decision intelligence: engineer the decision, not the dashboard 4:59
  31. GDPR versus GxP audit trails: the deletion trap 5:05
  32. Open data portals: publish fewer datasets as products 5:05
  33. Fanatics data platform ROI: making the board care 4:54
  34. Load forecasting: why DER signals break utility models 5:14
  35. ELT stack: where dbt, ingestion and orchestration break 4:42
  36. Data ROI to the board: why attribution models backfire 4:40
  37. Data contracts: how JPMorgan Chase named data owners 4:45
  38. Data literacy programs: change decisions, not courses 4:32
  39. Zero-trust data access: what CDOs need to check first 4:35
  40. Master data management: how Salesforce made MDM stick 4:51
  41. Feature stores and the ML data supply chain: what CDOs actually need to understand 4:53
  42. Pricing and packaging a data product for external revenue 4:29
  43. Data observability: catching bad data before it reaches decisions 4:50
  44. Hub-and-spoke data teams: the model that sounds right and works badly 4:55
  45. The data flywheel field guide: who built compounding advantage and what they actually did 4:41
  46. Privacy-enhancing technologies in practice: a CDO playbook 4:48
  47. How Walmart proved data ROI to its board: lessons from a $1 billion bet on supply chain intelligence 4:34
  48. Natural-language BI and the analyst's new role: why the "democratisation" story is only half true 4:41
  49. How Walmart's CDO built credibility and structure in the first 90 days 4:39
  50. Clean rooms in practice: a CDO's playbook for data collaboration without the risk 4:48