Databricks
Case Studies
Personalizing Talent Acquisition with IoT: A Case Study of 104 Corporation
Overview
Personalizing Talent Acquisition with IoT: A Case Study of 104 CorporationDatabricks |
Analytics & Modeling - Machine Learning Infrastructure as a Service (IaaS) - Cloud Computing | |
Cement Education | |
Maintenance Warehouse & Inventory Management | |
Construction Management Infrastructure Inspection | |
Cloud Planning, Design & Implementation Services Training | |
Operational Impact
With the shift to the Databricks Lakehouse Platform, 104 Corporation has been able to deliver exceptional hiring experiences to employers and candidates while reducing operational costs. The company has seen faster innovation and has been able to democratize data to match the needs of millions of job seekers and companies. The platform has also enabled seamless, efficient knowledge-sharing across different teams, accelerating prototyping and development of more complex ML and data applications at scale. With curated data at their fingertips and a scalable platform that better supports batch and real-time workloads, data teams can access faster insights, driving more intelligent decisions that impact business operations. The Databricks Lakehouse Platform has become 104 Corporation’s enterprise data platform for information access and exceptional talent acquisition services. | |
Quantitative Benefit
9x faster data processing for more personalized job-seeking experiences | |
25% reduction in time-to-market of new features | |
Average 25% reduction in the amount of time needed to process ETL workloads for both BI dashboarding and ML model training | |