Evonik is one of the leading global specialty chemical companies. It prides itself on innovation and is on a digital transformation path (from Smart Connected Operations to AI-Driven Operations) under the leadership of the Technology Deployment and Digitalization team. The team is charged with driving adoption of technology both developed in-house and procured from vendors.
As a major supplier for many industries, ensuring asset reliability and preventing unplanned downtime are critical challenges.
Although plants held vast amounts of operational data in various systems, the data was difficult to sort through and use with data engineers spending as much as 70% of their time on data wrangling and connectivity.
Creating integrated views of time-series and transactional data was very painful and not scalable resulting in inefficient “one-off” implementations that were difficult to govern. The manual processes required technical expert effort, were time consuming, introduced possibility of errors, and slowed the testing phase. This hindered the team’s ability to innovate quickly, try new technologies and solutions, and decide which ones to bring to bear.