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# The last mile: why great first-party data still doesn't make great marketing

**[databricks](https://daily.dev/sources/databricks)** · 12 min read · 0 upvotes · 0 comments

## Summary

Modern marketing teams struggle to activate first-party data despite having world-class data infrastructure. The core problem is a structural gap between data platforms (like Databricks) and marketing execution layers, caused by decades of siloed martech tools requiring constant data movement. The proposed solution is a 'composable canvas' architecture where all tools operate on a shared data foundation without middleware. Three practical starting points are outlined: consolidating marketing data into a unified lakehouse, enabling self-service analytics for non-technical marketers via natural language interfaces, and deploying narrow AI agents that live natively in the data layer to automate high-frequency campaign tasks. Databricks' new CustomerLake Agentic CDP is highlighted as a step toward eliminating the integration gap entirely.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.databricks.com/blog/last-mile-first-party-data-great-marketing>

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---

Tags: [#business](https://daily.dev/tags/business), [#ai-agents](https://daily.dev/tags/ai-agents), [#databricks](https://daily.dev/tags/databricks)

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