Session
VALENTINO — Customer Journey with Databricks
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Strategy |
Industry | Enterprise Technology, Manufacturing, Retail and CPG - Food |
Technologies | Delta Lake, Databricks Workflows, Unity Catalog |
Skill Level | Advanced |
Duration | 40 min |
VALENTINO decided to adopt Databricks within their own Data Strategy and Digital Transformation in order to address audience targeting across ads and marketing automation. Among several data sources and different legacy systems, Databricks offers the capabilities for an holistic view and the most recent data availability. In the past, at VALENTINO we spent significant time building and exporting CSVs and data pipelines for marketing teams —campaigns often go out late.
- We can now address personalizations: All DBX data can be utilised via no-code UI to identify high-value users and improve customer experience
- Abandoned cart: Triggering omnichannel campaigns into ad/email tools to increase conversions
- Inventory triggers: Emails sent when out-of-stock items become available
- Lakehouse CDP utilising DBX as the storage layer — all usage drives DBSQL. Plus — more datasets added to DBX to power CDP usage
- Revenue driver vs. cost centre, improving return on ad-spend and conversions
Session Speakers
IMAGE COMING SOON
Francesco Laera
/Global Head of Brand Intelligence, Data & Analytics
Valentino