Case Study: Anvyl improves data discovery and visibility with Select Star

Select Star’s automated data catalog helps Anvyl to find its most valuable data

Anvyl, a software startup providing supply chain visibility and analytics, struggled to help internal teams find and understand data as its volume grew. Inconsistent cataloging, duplicated datasets, and more than 200 columns in Looker made reporting difficult and increased the risk of breaking downstream dashboards. Select Star’s automated data catalog was used to bring order and visibility to their data environment.

With Select Star, Anvyl gained automated metadata ingestion, data lineage, and popularity scoring to identify valuable datasets, understand dependencies, and standardize KPIs and metrics. The result was faster data discovery, less time spent on manual cataloging and user questions, and improved confidence when removing unused data—saving the data and analytics team up to a year of manual work.

Anvyl

Christine Liu

Data and Analytics Lead