Case Study: Biome Analytics accelerates data pipelines and scales reporting with Ascend.io

A Ascend.io Case Study

Preview of the Biome Analytics Case Study

Biome leverages Ascend to expedite their data pipeline and support rapid growth in data volume.

Biome Analytics, a clinical performance management company focused on helping hospitals and health systems improve care quality and reduce costs, needed a way to handle rapidly growing data volumes without adding headcount. Using Ascend.io, Biome sought to modernize its data pipelines and support faster reporting and new data sources across its healthcare analytics workflows.

Ascend.io helped Biome rebuild its data processing with more efficient, scalable pipelines, better data quality, and checkpointing that allowed teams to stop, inspect, fix, and resume jobs without reprocessing. The results were substantial: pipeline runtime dropped from 20 hours per customer to just three hours for all customer data, reporting frequency improved from quarterly to monthly, and the team was able to expand data products and reporting capabilities while improving reliability and innovation.


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Biome Analytics

Stuart Jacobson

Chief Executive Officer


Ascend.io

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