THE SWING creates a smoother driving experience with Databricks
Korea's personal mobility provider THE SWING adopted the Databricks Data + AI Platform, including Unity Catalog and AI/BI Genie, for fleet management, IoT optimization and data governance, cutting data analysis time by 30%, reducing operating costs by 40%, and increasing revenue 20% through AI-driven vehicle location and relocation insights.
Overview
Korea's personal mobility provider THE SWING adopted the Databricks Data + AI Platform, including Unity Catalog and AI/BI Genie, for fleet management, IoT optimization and data governance, cutting data analysis time by 30%, reducing operating costs by 40%, and increasing revenue 20% through AI-driven vehicle location and relocation insights.
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Inspect the highlighted sourceThe challenge
THE SWING's legacy system, which extracted unstructured data from AWS for analysis in BigQuery, consumed excessive resources and delayed decision-making as its growing fleet, frequent vehicle relocations and new services outpaced the system's ability to scale.
The solution
THE SWING adopted the Databricks Data + AI Platform, using Databricks SQL for structured queries and reporting, Databricks Notebooks and MLflow for exploratory analysis and ML model management, AI/BI Genie to translate natural language questions into SQL queries, real-time IoT data processing via Apache Spark Streaming and Kafka, and Unity Catalog to centralize data access controls.
Reported business value
THE SWING reduced data analysis time by 30% and eliminated labor-intensive conversion tasks, contributing to a 40% reduction in operating costs, and increased sales by 20% through integrated marketing strategies informed by the data. The company anticipates a 70% reduction in IoT log processing time compared with their legacy system, further streamlining operations.
Sources
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