Case Study: Clutch achieves faster customer insights and improved machine learning with Matillion ETL

A Matillion Case Study

Preview of the Clutch Case Study

Clutch brings in new data 24/7 with Matillion

Clutch, a marketing and advertising company, faced the challenge of modernizing its data warehouse to handle diverse data from various client sources for its machine learning platform. Their legacy systems were unable to efficiently manage the scalable and timely data load operations required from differing POS systems, CRM platforms, and other web-based systems. To address this, Clutch selected Matillion ETL for Amazon Redshift as a key part of their solution.

The solution implemented with Matillion enabled Clutch to ingest and transform thousands of rows of data per hour and several terabytes via batch channels, bringing in new data 24/7. This resulted in faster time to insight for customers, improved machine learning outcomes, and better system performance with a modern technology stack. Matillion's pay-as-you-go model provided a quick ROI and increased agility, allowing Clutch to onboard new clients quickly and tackle complex, previously infeasible data challenges for their customers.


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