Case study / Consumer goods
Model-ready data.
Right after close.
A global consumer goods company waiting weeks after each quarter close for model-ready marketing data.
The difference it made
Value you can see.
Model-ready data, right after quarter close.
Speed
Data ready sooner.
Model-ready marketing data arrives right after quarter close, not weeks later.
Sources
Every source in one place.
Agency uploads and platform data in one governed hub.
Models
Ready for models.
Curated, model-ready tables shared through Delta Sharing.
The solution, at a glance
Every source.
Model-ready tables.
The challengeWhat we changed
- Many separate sourcesOne governed hub
- Agency file uploadsGoverned uploads
- Data-quality riskHard-stop quality gates
- Marketing sourcesPlatforms and agencies
StorageGoogle Cloud Storage
LakehouseDelta Lake- Model-ready dataCurated tables · Delta Sharing
Unity Catalog governance · History tracked
Engineering details
The challenge
- Marketing data spread across many separate sources
- Agency uploads needed governance before models could use them
- Model-ready data took weeks after each quarter close
The build
- Marketing data integration hub on Databricks on Google Cloud
- Every source consolidated into model-ready tables
- Governed agency uploads and historical tracking
- Automated data quality with hard-stop gates
Technology
DatabricksGoogle Cloud
PythonDatabricksDelta LakeGoogle Cloud StorageUnity CatalogDelta SharingPySparkData quality
Continue exploringConnecting families and care teams.
Your next step
Have a similar
problem?
Forty-five minutes on your version of it. You leave with a proposed first step.