Three-day data lags made offers irrelevant. Real-time pipelines now capture intent instantly, doubling conversion on contextual offers.
One of Latin America's largest banks serves over 75 million customers, generating nearly 3 billion data observations monthly across mobile and digital channels.
Legacy on-premises systems caused three-day data delays, making it impossible to deliver relevant offers based on recent customer interactions....
“The integration of Spark Declarative Pipelines allows us to trust in our data and to create more contextual offers for customers. All the touchpoints customers have in the journey — whether they are spontaneous or triggered by a marketing campaign — are analyzed and transformed into new contextual actions.”
Full-service commercial bank providing retail, corporate, and investment banking services.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
A 14-day wait for first investments left marketers guessing. Now, AI predicts user value in minutes to optimize bids and route top leads.
Pipelines collapsed during iPhone launches. Now, unified data powers millions of SKU-level models to personalize marketing instantly.
Marketers waited weeks for static segments. AI agents now build audiences from live data, cutting launch times to hours.
Pipelines collapsed during iPhone launches. Now, unified data powers millions of SKU-level models to personalize marketing instantly.
Manual segmentation couldn't keep pace. AI agents now predict the optimal message and timing for 75M members.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Rigid search rules forced endless manual tagging sprints. Now, ML classifies products at ingestion to match natural shopper language.
Analysts spent days manually merging data. GenAI now generates localized campaign summaries for 20 audiences across six countries.
Three-day data lags made offers irrelevant. Real-time pipelines now capture intent instantly, doubling conversion on contextual offers.
One of Latin America's largest banks serves over 75 million customers, generating nearly 3 billion data observations monthly across mobile and digital channels.
Legacy on-premises systems caused three-day data delays, making it impossible to deliver relevant offers based on recent customer interactions....
“The integration of Spark Declarative Pipelines allows us to trust in our data and to create more contextual offers for customers. All the touchpoints customers have in the journey — whether they are spontaneous or triggered by a marketing campaign — are analyzed and transformed into new contextual actions.”
Full-service commercial bank providing retail, corporate, and investment banking services.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
A 14-day wait for first investments left marketers guessing. Now, AI predicts user value in minutes to optimize bids and route top leads.
Pipelines collapsed during iPhone launches. Now, unified data powers millions of SKU-level models to personalize marketing instantly.
Marketers waited weeks for static segments. AI agents now build audiences from live data, cutting launch times to hours.
Pipelines collapsed during iPhone launches. Now, unified data powers millions of SKU-level models to personalize marketing instantly.
Manual segmentation couldn't keep pace. AI agents now predict the optimal message and timing for 75M members.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Rigid search rules forced endless manual tagging sprints. Now, ML classifies products at ingestion to match natural shopper language.
Analysts spent days manually merging data. GenAI now generates localized campaign summaries for 20 audiences across six countries.