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Blog

Operationalizing Batch Analytics

Operationalizing Batch Analytics

Written by Emily Johnston and Synjen Marrocco on November 8, 2022
Batch Processing
Seeq saves millions of dollars each year in batch quality for process manufacturers, particularly in the pharmaceutical, specialty chemical, and food & beverage industries, and reduces the time to create and deploy golden profile monitoring solutions from months to hours. 
Recap: Conneqt Regional Linq-up – Houston

Recap: Conneqt Regional Linq-up – Houston

Written by Morgan Bowling and Allison Buenemann on October 13, 2022
Process Manufacturing
The Houston Seeq community gathered, networked, and shared how Seeq is transforming the way their organizations work, at scale.
Chemicals Industry Update: Part 2

Chemicals Industry Update: Part 2 – Chemicals Industry Leaders Use Advanced Analytics to their Advantage

Written by Allison Buenemann on October 3, 2022
Chemicals
Learn how Seeq’s chemical industry customers have been using advanced analytics to make their impact on the triple bottom line.
Chemicals Industry Update: Part 1

Chemicals Industry Update: Part 1 – Chemicals Market Expansion and Differentiation

Written by Allison Buenemann on September 21, 2022
Chemicals
The chemicals market is expected to grow at a CAGR between 4-10% in 2022. With demand holding steady, competition to acquire and retain customers is forcing manufacturers to differentiate.
Advanced Analytics Drive Digital Innovation in Midstream Oil and Gas

Advanced Analytics Drive Digital Innovation in Midstream Oil and Gas

Written by Morgan Bowling on August 29, 2022
Oil & Gas
North America is expected to continue its global growth as an energy provider, and optimizing the performance of midstream assets will play a key role in this growth. As the industry emerges from the low-price crude environment, midstream operators are looking to invest in digital initiatives that provide opportunities for optimization. 
Operationalizing Engineering Statistics: Why Apply Statistical Analysis in Process Control?

Operationalizing Engineering Statistics: Why Apply Statistical Analysis in Process Control?

Written by Katie Pintar on June 23, 2022
Highlighted throughout
Many process manufacturers today are fixing their gaze on two modern focal points—overall equipment effectiveness (OEE) and sustainability. OEE is driven by improved reliability, quality, and production yield, and sustainability is driven by efficient supply chains, minimal energy usage, and reduced emissions. While improving each of these key metrics requires time and effort, advanced analytics tools involving statistics, process control, and monitoring—collectively referred to as statistical analysis—make this more achievable.

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Recent Posts

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  • Methodical Data Alignment: An Overlooked Data Cleansing Step – Part 2
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  • Oil & Gas Industry Update – Part 2: Empowering organizations to accelerate change

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Recent Blog Posts

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