T Map Mobility, Korea's leading mobility platform company, is expected to strengthen its service competitiveness by accelerating AI mobility innovation through data democratization.

According to the latest case study reference from Databricks, T Map Mobility is in full swing with its digital transformation by building an integrated data environment based on Databricks.

T Map Mobility, a company that processes over 7.3 billion pieces of mobile data annually, is pursuing "data democratization," which simultaneously strengthens data accessibility and governance, as its core strategy.

T Map started out as the world's first mobile navigation service 20 years ago and has grown into a platform used by over 95% of domestic vehicles.

On the other hand, the existing data environment had limitations in efficiently managing large-scale data.

Because it was difficult for general staff to directly explore the data, the analytics team was repeatedly bombarded with requests for simple extraction, which led to excessive workload for analysts and delays in service expansion.

To solve this problem, T Map Mobility introduced the Databricks platform.

In particular, by utilizing 'Genie Space', a natural language-based data exploration tool, we have created an environment where even non-expert personnel can directly search and analyze data..

Through this, various departments, including planning and marketing, were able to independently utilize data to derive insights, and a culture of data utilization spread significantly throughout the organization.

There have also been significant changes in terms of data governance.

T Map introduced Databricks' 'Unity Catalog' to establish a detailed permission management and data ownership system.

Columns containing personal information are automatically masked, and access history tracking is also enabled, enhancing data security and transparency.

Another major change is that each department can now flexibly set the permissions they need without the intervention of the data engineering team.

These innovations are leading to real results.

As of September 2025, simple data extraction requests received by the analytics team have decreased by 68% compared to the previous period.

Data accessibility has been dramatically improved, with approximately 48% of all employees now able to explore and utilize data directly.

Analysts are freed from repetitive tasks and can focus on advanced analysis and modeling, which in turn enhances service competitiveness.

T Map Mobility plans to continue expanding its data hub centered around Databricks.

We plan to improve data migration efficiency through AWS Glue Federation and External Table integration, and integrate all in-house data into Databricks to drive more sophisticated data governance and AI-based analysis.

A T Map data platform manager emphasized, "Databricks, with its scalability and flexibility, is the core infrastructure supporting T Map's AI mobility service."