Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.
Title
Flipp democratizes shopping data with a Databricks lakehouse for personalized offers
…a Demo Login Contact Us Try Databricks Customer Stories / Flipp CUSTOMER STORY Connecting shoppers to savings with data-driven personalization 10% Increase of in-store traffic with retailers Digital technologies are rapid…
Description
Flipp built a lakehouse architecture on Databricks and Delta Lake to unify siloed retail partner content and user-generated behavioral data, using MLflow for experiment tracking and Tableau for reporting, powering recommendation models for real-time personalized offers and contributing to a 10% increase in in-store traffic with retailers.
…ame experiments or do similar work. Making all data available for all analytics Flipp is utilizing a lakehouse data architecture on Databricks and Delta Lake, which enables them to get data into the system fast, refine it, and deliver it…
Company
Flipp
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Flipp CUSTOMER STORY Connecting shoppers to savings with data-driven personalization…
Industry
Retail
…tand how to improve customer engagement and conversion. Share this post Details Industry : Retail and Consumer Goods Use Case : Data Science , Data Warehousing , Data Engineering Cloud : AWS Produ…
Problem
Flipp's primary data sources — retail partner content and user-generated behavior — were siloed, unstructured and hard to access; individual events had to be manually logged and parsed, and data scientists relied on spreadsheets to track experiments, causing reproducibility problems and duplicated work.
…nerated behavior, such as how shoppers respond to different ads. Unfortunately, this data was unstructured, hard to access and almost impossible to work with. For example, each individual user-generated event had to be logged and parsed,…
Solution
Flipp built a lakehouse architecture on Databricks and Delta Lake for fast data access via Apache Spark APIs, used MLflow to automatically track experiments, and visualized data with Tableau, enabling data science teams to build predictive analytics for recommendation engines that power real-time personalized offers.
…ss analysts and sales teams can see how partners and customers are progressing, data science teams can build powerful predictive analytics for their recommendation engines, and engineering teams can create new product features that delight and engage…
Business functions
Sales
…refine it, and deliver it to multiple audiences depending upon their use cases. Business analysts and sales teams can see how partners and customers are progressing, data science teams can build powerful predictive analytics for their recommend…
Technology
Delta Lake, MLflow, Tableau, Databricks SQL
…Goods Use Case : Data Science , Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake , Agent Bricks More from Flipp Ready to get started? Try Databricks for free Learn more about…
Use case type
Personalisation
…ng tool: Tableau. With access to all their data, the data science team can also deliver models to power their personalization solutions designed to provide real-time offers to consumers in order to attract users into retail locations. Meanwhile, MLflow has made it…
Headline outcome
…CUSTOMER STORY Connecting shoppers to savings with data-driven personalization 10% Increase of in-store traffic with retailers Digital technologies are rapidly transforming the way retailers engage with cus…
Business value
Flipp's data teams gained rapid, democratized access to data for both regular reporting and ad hoc analysis, replacing tedious spreadsheet tracking, and the platform contributed to a 10% increase in in-store traffic with retailers.
…CUSTOMER STORY Connecting shoppers to savings with data-driven personalization 10% Increase of in-store traffic with retailers Digital technologies are rapidly transforming the way retailers engage with cus…
AI capabilities
Recommendation & Personalization, Predictive Analytics
…ss analysts and sales teams can see how partners and customers are progressing, data science teams can build powerful predictive analytics for their recommendation engines, and engineering teams can create new product features that delight and engage…
Deployment options
cloud
…nd Consumer Goods Use Case : Data Science , Data Warehousing , Data Engineering Cloud : AWS Product : Databricks SQL , Delta Lake , Agent Bricks More from Flipp Ready to g…
