Databricks Logistics South Korea

TMAP Mobility

Data Lake / Data Warehouse Modernization · Marketing Personalization · Real-time Analytics

However, their existing data environment was poorly suited to efficiently manage such massive data volumes.

48% Of employees can now directly access and use data
68% Reduction in repetitive data requests for the analytics team
As the world’s first mobile navigation service, TMAP Mobility has established themself as an industry leader over the past 20 years by providing the fastest and safest routes possible.
With over 25 million subscribers and adoption in more than 95% of domestic vehicles in Korea, TMAP handles more than 7.3 billion mobility data points annually, delivering personalized travel experiences at scale.

Reported impact

Business outcome

TMAP Mobility achieved measurable business impact on Databricks, including 68% Reduction in repetitive data requests for the analytics team; 48% Of employees can now directly access and use data; As the world’s first mobile navigation service, TMAP Mobility has established themself as an industry leader over the past 20 years by providing the fastest and safest routes possible..

  • Customer Experience
  • Productivity Improvement
  • Risk Reduction

Solution

As the world’s first mobile navigation service, TMAP Mobility has established themself as an industry leader over the past 20 years by providing the fastest and safest routes possible. With over 25 million subscribers and adoption in more than 95% of domestic vehicles in Korea, TMAP handles more than 7.3 billion mobility data points annually, delivering personalized travel experiences at scale. However, their existing data environment was poorly suited to efficiently manage such massive data volumes. Teams were hindered by limited data access and rigid security controls, which made it difficult to accelerate AI-driven recommendation efforts. Aiming for data democratization and enhanced governance, TMAP adopted the Databricks Data + AI Platform and successfully established a new data environment to support their future growth.

Data flow

Operational, customer, and transactional data lands in Databricks before being served through Genie

Solution architecture

1 components · 1 layer
  1. Serving
    • Genie Lets nontechnical teams at TMAP Mobility query governed data in natural language.

Architecture clues

  • Cloud: AWS
  • Key product: Genie

Evidence from the source

48% Of employees can now directly access and use data
68% Reduction in repetitive data requests for the analytics team
As the world’s first mobile navigation service, TMAP Mobility has established themself as an industry leader over the past 20 years by providing the fastest and safest routes possible.
Millions of travel decisions are now made on the move: where to go, how to get there, when to leave and which route to take.
With over 25 million subscribers and adoption in more than 95% of domestic vehicles in Korea, TMAP handles more than 7.3 billion mobility data points annually, delivering personalized travel experiences at scale.
Transparency Evidence & methodology 90/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Databricks

    TMAP Mobility customer story

    First-party
    https://www.databricks.com/customers/tmap-mobility
    Source type
    Vendor-published customer story
    Published
    Dec 8, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Dec 8, 2025 · Databricks · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.