{"slug":"tmap-mobility-powers-smarter-safer-travel","url":"https://findausecase.com/use-cases/tmap-mobility-powers-smarter-safer-travel","title":"TMAP Mobility Powers Smarter, Safer Travel","description":"TMAP Mobility, Korea's leading mobile navigation service with over 25 million subscribers and adoption in more than 95% of domestic vehicles, adopted the Databricks Platform to address data access and governance roadblocks that stalled AI-driven personalization efforts. Using Genie Space, non-data specialists can now explore and analyze data with natural language, and Unity Catalog provides granular permission management and column masking. As of September 2025, the analytics team receives 68% fewer simple data extraction requests, and approximately 48% of all employees can directly explore and utilize data. TMAP processes more than 7.3 billion mobility data points annually and used the Recommendation Engines Solution Accelerator to prototype and deploy scalable recommendation models faster.","company":"TMAP Mobility","industry":"Travel & Hospitality","country":"South Korea","aiCapabilities":["Recommendation & Personalization"],"technology":["Databricks Platform","Genie Space","Unity Catalog","Databricks SQL","Databricks Notebooks","Recommendation Engines Solution Accelerator"],"deployment":"Public Cloud","problemStatement":"TMAP Mobility's existing data environment was poorly suited to manage massive data volumes; data accessibility was extremely limited, general users struggled to explore or utilize data, causing heavy reliance on data specialists and frequent bottlenecks that reduced productivity, while rigid permission controls and an inflexible governance system hindered handling of personal data and stalled AI-driven personalization efforts.","solutionApproach":"TMAP Mobility adopted the Databricks Data + AI Platform. With Genie Space, non-data specialists can directly explore and analyze data using natural language commands. TMAP implemented granular permission management and a data ownership system using Unity Catalog, including column masking policies. Databricks SQL provides fast, governed access to curated data, Databricks Notebooks enable deeper analytical workflows, and dashboards on AWS support interactive reporting and performance monitoring. TMAP also integrated the Recommendation Engines Solution Accelerator to prototype and deploy scalable recommendation models faster.","businessValue":"As of September 2025, the analytics team receives simple data extraction requests that are 68% lower than previous levels, and approximately 48% of all employees can now directly explore and utilize data. TMAP processes more than 7.3 billion mobility data points annually.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/tmap-mobility","dates":{"publishedAt":"2026-08-16T08:25:23.337Z","publishedAtSource":"ledger","updatedAt":"2026-08-18T10:29:36.337Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/tmap-mobility-powers-smarter-safer-travel. Bulk republication requires permission."}