Case Study: HDC Hyundai achieves AI-ready data and faster audits with Select Star

A Select Star Case Study

Preview of the HDC Hyundai Case Study

Building a Smarter Data Foundation HDC Hyundai’s Journey to AI-Ready Data

HDC Hyundai, a leading South Korean construction and real estate development company, was managing a fragmented data landscape after moving from on-premise databases to Snowflake and other cloud tools. The company needed better metadata management, data lineage, and governance to support AI initiatives, improve compliance, and reduce the manual effort involved in tracking and troubleshooting data.

To address these challenges, HDC Hyundai implemented Select Star to automatically catalog metadata across Snowflake, SQL Server, Tableau, and QuickSight, visualize end-to-end data lineage, and generate AI-powered dataset descriptions. With Select Star, HDC Hyundai cut audit and internal data request handling time by 75% and reduced data management time by more than 50%, while replacing outdated manual documentation with a more scalable, searchable, and governed data foundation.


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HDC Hyundai

YoonJae Lee

Digital Team Manager


Select Star

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