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Data Management

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Predictive Maintenance Basics

Enabled by modern digitalization tools, predictive maintenance strategies have distinct advantages over traditional approaches and preventive maintenance protocols The era of visual-inspection-only maintenance routines with an employee checking boxes off on a clipboard could soon become a relic thanks to…

Manufacturing Mindset for the Energy Industry

  Ebook: Integrate your energy asset data The data supporting capital project lifecycles and operational assets contain intelligence that provides performance-enhancing insights. But how can you effectively utilize this data? Many industries have shown that adopting a Digital Lifecycle Excellence…

Don’t Just Collect Data, Use It: How to Harness Data to Optimize Performance and Improve Profitability

Smart devices are the foundation of a connected chemical plant, producing the data that can help you drive better decision-making across your operations. But having access to data is only the beginning — you also need to collect, orchestrate and…

Connecting Research and Production Data to Deliver Chemical Innovation

Enhancing data management using LIMS software provides enhanced product-development opportunities Accurate and efficient data management is key to productive and collaborative working practices, yet recording, storing and analyzing large quantities of laboratory data can be challenging. With many laboratories using…

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If Data is the New Gold, Where to Start Digging?

In a data-overloaded environment, companies may struggle to fully reap the benefits of Industry 4.0 technologies. Understanding data utilization can help transform process datasets into decision-making assets The chemical process industries (CPI) have been realizing for some time that information…

Modernizing the Process Optimization Toolset

Chemical manufacturers are using advanced analytics solutions to transform the way their employees solve data-intensive optimization problems The traditional approach to process-data analysis for optimization has been on-premises process data historian integration with a Microsoft Excel add-in. This methodology requires…