Case Study: 104 Corporation improves hiring outcomes with Databricks

Personalizing talent acquisition to improve hiring outcomes

104 Corporation, Taiwan’s leading online recruitment solutions provider, needed a modern data foundation to replace legacy cloud tooling that was driving high pipeline costs, heavy maintenance overhead, and slower, less data-driven hiring innovation. Using the Databricks Data Intelligence Platform, the company aimed to unify data, scale machine learning, and improve the recruitment experience for millions of job seekers and employers.

Databricks helped 104 Corporation move its data workflows to a lakehouse approach with Delta Lake, MLflow, and Databricks Lakeflow Jobs, enabling secure data access, automated pipelines, faster ETL for BI dashboards, and more efficient batch and real-time workloads on one platform. As a result, 104 Corporation improved workflow efficiency, accelerated model development and prototyping, increased collaboration across teams, and reduced operational costs while delivering faster, more personalized hiring solutions.

104 Corporation

Scott Hsieh

Head Architect