Challenge: Prior to deploying Seeq on Amazon Web Services (AWS), Covestro relied on trend viewer software and ad-hoc data dumps in Excel to analyze machine sensor data. However, those systems provided limited flexibility and required high technical aptitude, meaning a lot of stones went unturned.
Read the case study to learn how, as part of its digital transformation efforts, Covestro adopted Seeq software solutions to help unlock the value of its industrial data. Seeq provides engineers and data science teams self-service access to powerful analytical tools that they can use to address business issues. By deploying Seeq within its Amazon Web Services (AWS) environment, Covestro further empowers employees to share data capsules, models, and insights between locations and drive efficiencies at scale.
Download the case study now to learn more.