Data in the hands of many creates a competitive advantage!
Chemical companies continuously strive to optimize process performance and improve overall equipment effectiveness. Some are already using big data and are embracing the concepts of Industry 4.0. But what makes these companies outperform their competition?
Making information out of “big data” often requires data scientists creating data models to come to conclusions on how to improve operational performance. One form of big data is sensor generated process data, typically captured in the historian. But still process engineers often need to rely on data scientists for analyzing process performance.
Wouldn’t it be great if they can leverage their expertise and avoid to build complex analytics models to find root causes for process deviations?
In this webinar, Ruchika Tawani, Data Analytics Engineer, TrendMiner will discuss how process engineers and other operational experts can do more with their data themselves, without the need for data scientists.
The webinar is specifically of interest to plant managers and process engineers who want to know how they can improve operational performance. The practical use cases shown in the webinar help you better understand why democratization of analytics can help accelerate your organizational goals, such as reducing downtime, increasing yield, control quality, improve asset reliability and increase overall profitability.