Case Study: AlphaSense streamlines data governance and warehouse management with Select Star

A Select Star Case Study

Preview of the AlphaSense Case Study

AlphaSense Transforms their BigQuery Data Warehouse with Select Star

AlphaSense, a market intelligence and search platform serving more than 4,000 enterprise customers, needed a more scalable way to manage its fast-growing BigQuery data warehouse. As the company expanded, its data team was creating more and more tables, dashboards, and models to meet immediate needs, which led to maintenance overhead, weak lineage visibility, and governance challenges around data quality and sensitive information.

To address this, AlphaSense implemented Select Star with integrations for BigQuery, dbt, Looker, and Tableau, using its column-level lineage, automated documentation, and tagging capabilities. Select Star helped AlphaSense rapidly identify frequently used datasets, reduce 43% of data tables, declutter 66% of dashboards, and complete its data governance project, with over 100 hours saved and much stronger self-service access and confidence in data across the organization.


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AlphaSense

Stephanie Loesche

Director of Data Governance


Select Star

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