Business transformation through data and ML
summary
PepsiCo ecommerce uses AWS and Provectus to build a cloud data platform (S3 Parquet, EKS/Kubernetes, Terraform, Airflow, DBT, Lambdas, SNS, Apache Superset) and a data-vault warehouse so teams launched two DTC business lines in less than 30 days (pantryshop.com, snacks.com), operationalized pipelines with GitOps and containerization, and deploy a marketing ROI engine that moves from monthly to weekly forecasts and covers all brands and geographies. Supply-chain tooling cuts chargeback investigation cost by 1–5%, the stack scales across domains and forces legacy decommissioning.
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chapters (13)
- 0:00Introduction and context
- 2:55Strategic approach
- 5:41Management decisions
- 10:09Operational transformation
- 14:10Lean software development
- 17:07Data platform architecture
- 21:04Supply chain use cases
- 24:36Marketing and ROI engine
- 28:31Consumer analytics
- 30:21Platform technology stack
- 36:55Scaling and data modeling
- 42:11Lessons and culture
- 50:38Q&A and conclusion
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