Case Study: INVISTA achieves smarter manufacturing and $300M value with AWS Glue and AWS

INVISTA Transforms Operations by Optimizing Manufacturing Outcomes on AWS

INVISTA, a subsidiary of Koch Industries and a major producer of chemical intermediates, polymers, and fibers, needed to move beyond siloed on-premises data and slow manual analytics so it could improve manufacturing performance and use data more effectively. With AWS Glue as part of its AWS-based data platform, the company aimed to make large volumes of plant and enterprise data available for analytics and machine learning.

AWS helped INVISTA build a secure data lake on Amazon S3 using AWS Lake Formation, with AWS Glue providing managed ETL to prepare data for analytics and machine learning. The new platform, which also includes Amazon Redshift, Amazon Athena, and Amazon SageMaker, has reduced unscheduled downtime, enabled closed-loop automated spare-parts stocking, expanded data access for nontechnical users, and is helping INVISTA create $300 million of value while saving more than $2 million annually in data storage costs.

INVISTA

Elizabeth Gonzalez

Analytics Leader