Become data driven: From data projects to data products
summary
A telco-style Customer 360 is delivered on a modern data architecture: data lake on Amazon S3 (Parquet), catalogued with AWS Lake Formation, queried by Amazon Redshift, visualised with QuickSight, models via SageMaker and notifications with Pinpoint. A prioritized use case—average handling time—is scored complexity 3/10, built in two months, and cuts call duration ~10%, realising ~$3M (vs $4M target). Reuse of those data products enables 14 more use cases in seven months and a lower marginal cost per use case.
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chapters (7)
- 0:00Introduction and definition
- 0:52Real-world data application
- 5:56Overcoming cultural barriers
- 7:08Prioritization and strategy
- 15:37Modern data architecture
- 22:13Scaling with data products
- 26:41Key takeaways and resources
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