Databricks Commercial and Professional Services Taiwan

104 Corporation

Customer Service Automation · Enterprise Knowledge Search

Due to their extensive network of job advertisers and customers, 104 Corporation has access to terabytes of highly valuable, private data, including personal information, engagement details, and transaction information. Millions of job seekers and hundreds of thousands of recruiters depend on 104 Corporation’s current and accurate recommendations, using the insights gleaned to make effective recruitment solutions and

25% Reduction in time-to-market of new features
9x Faster data processing for more personalized job-seeking experiences
Since going live in 2019, 104 Corporation has seen an average 25% reduction in the amount of time needed to process ETL workloads for both BI dashboarding and ML model training.

Reported impact

Business outcome

Since going live in 2019, 104 Corporation has seen an average 25% reduction in the amount of time needed to process ETL workloads for both BI dashboarding and ML model training. For example, runtime for high-volume analytics has decreased to around a minute, allowing multiple applications to run simultaneously, efficiently and consistently.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement

Solution

104 Corporation built its Databricks implementation around Databricks SQL, Unity Catalog, Databricks Data + AI Platform, Lakeflow Jobs. Due to their extensive network of job advertisers and customers, 104 Corporation has access to terabytes of highly valuable, private data, including personal information, engagement details, and transaction information. Millions of job seekers and hundreds of thousands of recruiters depend on 104 Corporation’s current and accurate recommendations, using the insights gleaned to make effective recruitment solutions and. Databricks SQL serves governed analytics, dashboards, and ad hoc queries for business users and operational teams. Unity Catalog applies centralized governance, lineage, auditing, and access control across shared data assets. Databricks Data + AI Platform provides the shared lakehouse environment for ingestion, engineering, analytics, and AI workflows in this deployment.

Data flow

Source data is ingested into databricks, curated in Delta Lake tables, processed with Databricks compute and orchestration services, and served through analytics, semantic search, or model endpoints for downstream users and applications. It connects with SAP.

Solution architecture

6 components · 5 layers
  1. Storage
    • Delta Lake Stores curated lakehouse tables with ACID guarantees for downstream analytics and machine learning.
  2. Serving
    • Databricks SQL Serves governed analytics, dashboards, and ad hoc queries for business users and operational teams.
  3. Orchestration
    • Lakeflow Jobs Schedules and orchestrates recurring data pipelines and transformations.
    • Databricks Lakeflow Schedules and orchestrates recurring data pipelines and transformations.
  4. Governance
    • Unity Catalog Applies centralized governance, lineage, auditing, and access control across shared data assets.
  5. Uncategorized
    • Databricks Data + AI Platform Provides the shared lakehouse environment for ingestion, engineering, analytics, and AI workflows in this deployment.

Architecture clues

  • Databricks Data + AI Platform
  • Databricks SQL
  • Lakeflow Jobs
  • Reduction in time-to-market of new features
  • Unity Catalog
  • single source of truth

Evidence from the source

25% Reduction in time-to-market of new features
9x Faster data processing for more personalized job-seeking experiences
Since going live in 2019, 104 Corporation has seen an average 25% reduction in the amount of time needed to process ETL workloads for both BI dashboarding and ML model training.
“With the Databricks Data + AI Platform, we can cement a robust data foundation that enables secure access to democratized business data and better insights about our customers’ needs and habits. The processing power of Databricks Data + AI
Transparency Evidence & methodology 100/100 reference value · 94% confidence · 3 sources

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 value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    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
    3 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence94%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    3 source references 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

    104 Corporation customer story

    First-party
    https://www.databricks.com/customers/104-corporation
    Source type
    Vendor-published customer story
    Published
    Apr 17, 2023
    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
  2. TDCC IR Platform

    104 - Company Information | TDCC IR Platform

    First-party
    https://irplatform.tdcc.com.tw/ir/en/contact/detail/6B62111D-2303-4467-AC4A-1D200AC7B928

    Address: 10F, No.119-1, Baozhong Rd., Xindian Dist., New Taipei City, Taiwan, R.O.C.

    Source type
    Official investor relations page
    Supports
    • Region
  3. 104 Corporation / TWSE

    104 Corporation Annual Report 2024 (English)

    First-party
    https://doc.twse.com.tw/server-java/t57sb01?step=9&kind=F&co_id=3130&filename=2024_3130_20250528FE4.pdf&colorchg=1

    The workforce structure table lists a total of 968 employees as of March 31, 2025.

    Source type
    Official annual report
    Supports
    • Company size

Date evidence

  • Published on source page Apr 17, 2023 · Databricks · First-party
    Open date source
Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.