All Research Sponsored By:Seeq
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Seeq + Pratt Webinar Summary
Pratt Industries leverages Seeq's advanced analytics platform on AWS to drive operational excellence. By automating data preparation and analysis, Pratt gains real-time insights, improves consistency, and optimizes materials usage. Read the full case study now to learn how Pratt is transforming its operations.
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5 Questions to ASK When Selecting An Advanced Analytics Solution For Process Manufacturing
With so much data, why is it so difficult to apply advanced analytics to process manufacturing and gain the same benefits as other sectors? Download this detailed paper to examine this problem in full and to glean 5 questions to ask when selecting advanced analytics for process manufacturing.
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2023 Sustainability Whitepaper
Self-service, advanced analytics addresses the key challenges prohibiting the process industries from achieving their sustainability goals. Learn how by downloading this white paper. In addition, you’ll view a benefits breakdown for Seeq self-service analytics and 3 use cases.
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Operationalizing Statistical and Process Control Analyses
To measure product performance, many chemical manufacturers leverage statistical process control (SPC). Yet, developing SPC charts can be time-consuming. Along with exploring why that is the case, this overview considers how manufacturers can accelerate the process of creating SPC charts. Read on to learn how.
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Advanced Analytics Enable Process Manufacturers To Achieve Sustainability Goals
For manufacturers, the solution to achieving sustainability goals lies in leveling up data analytics to adjust processes with an eye on minimizing emissions. However, is it possible to do so while maintaining profitability? Read this white paper to ascertain how this is possible and how to get started with advanced analytics in your company.
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Alcoa’s Journey Towards Manufacturing Data Analytics
By implementing Seeq, a self-service advanced analytics solution, Alcoa significantly cut report creation time from weeks to 2 hours and improved accuracy. What’s more, users gained autonomy to analyze data and build models, enabling data-driven decisions and progress. Read the full case study on how Alcoa leveraged Seeq here.