Watch this webinar on demand to see how easy trend analysis can be; how to use the analytics capabilities to quickly find root causes for process anomalies and monitor operational performance and learn why thousands of users LOVE the new production client for each analytics maturity level and how they all can contribute to business outcomes.
In this webinar, TrendMiner Data Analytics Engineer Eduardo Hernandez discusses how to easily analyze process performance and find root causes fast, monitor performance to get early warnings and predict what is likely to happen, capture events and create your own production cockpit for operational storytelling, as well as best practices to become a data-driven factory and quickly gain value.
Watch this webinar on demand and discover how the data captured in your PI System can be leveraged for day-to-day, data-driven decision making when it’s combined with self-service analytics capabilities.
Discover how how process engineers and other operational experts can do more with their data themselves, without the need for data scientists.
Discover how how process engineers and other operational experts can do more with their data themselves, without the need for data scientists.
Discover how how process engineers and other operational experts can do more with their data themselves, without the need for data scientists.
Discover how Metals & Mining organizations can easily utilize self-service analytics to sift through available data and gain complete operational awareness.
In this presentation from Operational Excellence for Oil & Gas Online 2020, Nick Petrosyan takes you on a journey that breaks down buzzwords and demonstrates practical, easy-to-use approaches towards analytics that you can employ on a daily basis. Nick gives a short overview of the traditional machine learning landscape and the different tools/techniques that are used within it.
In this podcast, Dave and Thomas explore the basics of buzzwords like digitalisation, Industry 4.0, Analytics, IIoT, and data-driven decision making, and how operational experts can easily start with analytics without having to become data scientists.
