Seeq Data Lab
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Customer Case Studies
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Quantifying Manufacturing Losses with Enterprise OEE
April 27, 2022
Overall Equipment Effectiveness (OEE) is a method of quantifying production losses due to availability, performance, and quality, measuring manufacturing productivity. By quantifying productivity with OEE and categorizing underlying losses, manufacturing plants gain the insight necessary to prioritize improvement projects, address common production losses, and measure the financial impact of improvements.
Our Investments, Your Outcomes: Shortening the Pharmaceutical Lifecycle to Provide Better, Faster Cures
April 20, 2022
The life sciences industry is booming, valued at 1.3 trillion dollars, with approximately 300 global companies delivering over 20,000 different lifesaving treatments, personalized medicines, gene therapies, and cures to patients annually.
Seeq Going Cloud-Native?
Dustin Johnson, Megan Buntain, and Nick Gigliotti
April 5, 2022
Seeq’s cloud-native product roadmap leverages cloud technologies to meet customer needs, providing the scale required to support end users as they continue with their digital transformation journeys. To achieve this, Seeq Cortex—the services that power Seeq—will transition from a single server architecture to a horizontal scaling architecture, enabling Seeq to scale with its customers’ businesses.
What We’ve Learned: Best Practices for Seeq Deployment Success
March 31, 2022
Your company is ready to implement Seeq data analytics. Here are our hard learned tips for success during your initial deployment and adoption
Carrying the Baton: Seeq’s Customer Success Organization
March 28, 2022
At Seeq, our goal is to give our customers the tools they need to interact with data in new ways and enable business change through advanced analytics. A critical part of achieving that goal is ongoing, post-sales training and support.
Applying Predictive Analytics for Efficient Equipment Maintenance and Process Quality
February 28, 2022
There are many uses for predictive analytics to display a projection of future data that prescribes the necessary actions and leads to data-backed decision-making.
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