Powering EV mobility with optimized charging stations
CKDeltaDatabricks Data + AI Platform · Unity Catalog · MLflow +1
CKDelta processes over 12 billion daily telco mobility signals across seven countries on the Databricks Data + AI Platform to power its ∆Power product, which helps utility companies identify optimal EV charging station locations, boosting revenue potential up to 20x and cutting data processing time from 4-5 hours to 20 minutes.
Overview
CKDelta processes over 12 billion daily telco mobility signals across seven countries on the Databricks Data + AI Platform to power its ∆Power product, which helps utility companies identify optimal EV charging station locations, boosting revenue potential up to 20x and cutting data processing time from 4-5 hours to 20 minutes.
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Inspect the highlighted sourceThe challenge
As demand for data-driven insights grew, CKDelta's existing Teradata environment couldn't keep up: data pipelines were slow, analysis was limited in complexity and costs ballooned as usage scaled, while different clients' wildly different needs (raw data vs. full dashboards) added engineering overhead and made repeatability difficult.
The solution
CKDelta selected the Databricks Data + AI Platform to unify data engineering, data science and analytics across telco operations, consolidating diverse back-end systems into a single consistent environment; it uses Unity Catalog as a step toward serverless compute so teams can automatically scale jobs without provisioning infrastructure, and its utility and retail teams use MLflow to manage model development, versioning and experimentation.
Reported business value
CKDelta boosted revenue potential by up to 20x through smarter EV charger placement via its ∆Power product, and cut data processing time 93%, from 4-5 hours to just 20 minutes, thanks to serverless compute with right-sized clusters and reduced data transfer overhead.
Sources
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