Posit + Databricks
Personalized Marketing and Recommendation Engines at Scale with Posit & Databricks
Transforming Raw Retail Data into Real-Time Actionable Insights
Table of contents
The Personalization Challenge
Overcoming data silos and rising customer expectations
The Solution Architecture
Unifying data with Databricks and Posit
Meet Positron: A Modern IDE for Python & R
Flexible data science workflows for R and Python
AI-Accelerated Exploration
Validating raw data and using Databot for instant insights
Training the Hybrid Recommender
Collaborative filtering and propensity scoring at scale
The Interactive Shiny Dashboard
Live sales performance and personalized product recommendations
Seamless Deployment and Governance
Publishing to Posit Connect with secure access controls
Driving Real Business Value
Faster insights and higher conversions through scalable workflows
Additional Resources
Learn from other retail leaders
Golf Ball Product Recommendations at PING with Posit
Data Science Hangout with LEGO
Data Science Hangout with Target