{"slug":"kard-drives-customer-loyalty","url":"https://findausecase.com/use-cases/kard-drives-customer-loyalty","title":"Kard Drives Customer Loyalty","description":"Kard, a commerce media network for retail, restaurant and convenience brands, adopted the Databricks Data + AI Platform to unify data engineering, analytics and governance after legacy systems struggled with billions of transactions. Ingestion of 4 billion transactions dropped from weeks to an hour, and Kard estimates Databricks is 10x more cost-effective than their legacy MongoDB infrastructure.","company":"Kard","industry":"Financial Services","aiCapabilities":["Predictive Analytics"],"technology":["Databricks","Delta Lake","Unity Catalog","MLflow","Lakebase","Lakeflow","Databricks SQL","AI/BI","dbt"],"deployment":"Public Cloud","problemStatement":"As Kard's business grew, its existing data systems struggled to keep up with large-scale analytics: increasing data volumes pushed pipelines to their limits, causing production jobs to stretch for weeks, ingestion pipelines to fail, and manual analysis to slow insights to a crawl. Scaling was extremely costly and infrastructure management consumed engineering bandwidth and budget.","solutionApproach":"Kard replaced fragmented systems with the Databricks Data + AI Platform, creating a single source of truth that scales effortlessly. Ingestion tasks that once took weeks now take hours, and Delta Lake with medallion architecture ensures reliable pipelines. Analysts can model billions of transactions in real time for segmentation, attribution and personalization. Lakebase syncs billions of transactions from Delta tables, Unity Catalog provides fine-grained access controls for governance, MLflow streamlines model experimentation and versioning, and dbt empowers analysts to build models independently of engineering bottlenecks.","businessValue":"Ingesting four billion transactions from a partner that once took a month now takes just one engineer an hour. Kard estimates the Databricks Data + AI Platform is 10x more cost-effective at their current scale, which sets them up well as they continue to grow.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/kard","dates":{"publishedAt":"2026-09-07T09:01:25.932Z","publishedAtSource":"pipeline","updatedAt":"2026-09-07T09:01:25.932Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/kard-drives-customer-loyalty. Bulk republication requires permission."}