Webinar on Demand
Ditch the Spreadsheets
How Self-service Analytics Optimizes Day-to-Day Operations
Duration: 60 minutes
You can’t focus on what your data is telling you if you’re drowning in it. Self-service analytics easily allows you to interpret your data so you can increase asset reliability, optimize operations, and reach your corporate KPIs.
Until now, traditional methods for analyzing and understanding data have been limited to labor-intensive spreadsheets and manual reporting that is prone to human errors. Subject matter experts (SMEs) simply haven’t been equipped with the skills or tools needed to interpret complex data sets. Process optimization and reliability is attainable, but only when the data is readily available in a usable format, at all relevant organizational levels.
Watch this joint webinar with CFE Media to learn how TrendMiner enables sound decision making by SMEs, process engineers and technicians by recognizing patterns in time-series data in a user-friendly way – without depending on data scientists or lengthy data models.
Fréderick Motte is an expert in applied data analytics and process control in the chemical industry. Fréderick is VP is Customer Success at TrendMiner, a role which allows him to combine his expertise in analytics with his passion for helping customers maximize their success. Fréderick holds a Master of Science in Chemical Engineering (Chemical Reactor Design) from KU Leuven and UPM Madrid. Between 2011 and 2016 he worked as a process control engineer at IPCOS, where he was responsible for PID tuning, the design and programming of control architectures on different DCS systems and the design and implementation of full-fledged APC controllers.
Nick Petrosyan is a chemical engineer whose passion is solving problems through collaboration and data driven decision making. As a Customer Success Manager at TrendMiner, Nick draws on his extensive experience in manufacturing and data analytics to lead customers through use case resolution.
Nick holds a Bachelors of Science in Chemical Engineering from the University at Buffalo. Between 2011 and 2018 Nick worked as a Technology Engineer at BASF Corporation. Nick was responsible for capital projects, process troubleshooting, plant optimization, debottlenecking, automation, and digitalization efforts.