Whitepaper: Unscrambler® X Process Pulse II for Advanced Multivariate Process Monitoring

Whitepaper: Unscrambler® X Process Pulse II for Advanced Multivariate Process MonitoringIn this paper, CAMO aims to reiterate the value of the PAT framework throughout the Pharmaceutical organization and to describe how our new product, Unscrambler® X Process Pulse II, can bring significant value to the different departments by simplifying real-time data modeling, access and management which in turn enables a data driven culture of quality.
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Whitepaper: Monitoring chemical processes for early fault detection using multivariate methods

Whitepaper: Monitoring chemical processes for early fault detection using multivariate methodsMultivariate statistical methods can be used to monitor process variables and predict final product quality at an early stage, while also providing deeper understanding of the process. This allows engineers and production managers to optimize their processes, thereby realizing significant cost and time savings.
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Whitepaper: Improve the reliability of your process models for better process understanding & control

Whitepaper: Improve the reliability of your process models for better process understanding & controlWhile the First Principle Models typically used in engineering have many strengths, techniques such as Multivariate Data Analysis and Design of Experiments are increasingly being used in combination with traditional approaches to give engineers more robust tools for process modelling, product development and quality control.
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Whitepaper: Multivariate Data Analysis for Biotechnology and Bio-processing

Whitepaper: Multivariate Data Analysis for Biotechnology and Bio-processingPowerful Multivariate Data Analysis and Design of Experiments methods are giving biotechnology companies greater insights into their complex data and driving efficiency and innovation across the product lifecycle from raw material assessment, analysis of clinical trials, understanding fermentation processes to quality control.
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E-book: Multivariate Data Analysis For Dummies

E-book: Multivariate Data Analysis For DummiesMultivariate data analysis is used by the world’s leading organizations to develop better products, optimize processes, make more informed decisions and build better predictive models. This limited edition e-book introduces the key concepts and example applications of multivariate data analysis.
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Infosheet: Oil & Gas

Infosheet: Oil & GasThis brochure explains applications of multivariate analysis in the Oil & Gas sector including how to reduce impact on nature with environmental monitoring, detect and prevent out-of-control situations during production, and allocate individual wells contribution to the production.
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Infosheet: Wine making

Infosheet: Wine makingThis brochure explains applications of multivariate analysis in wine making including optimizing harvests through deeper analysis of soil and fruits; improving the fermentation stage through better process control and analysis; refining customer segmentation and branding with data driven insights.
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Infosheet: Petrochemicals

Infosheet: PetrochemicalsThis brochure explains applications of multivariate analysis in petrochemicals including optimizing blending operations and increase the profitability of the refinery, improving inventory management with more accurate analysis of crude feedstock and reducing equipment malfunction and process failures with early event detection.
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Infosheet: Biotechnology

Infosheet: BiotechnologyThis brochure explains applications of multivariate analysis in biotechnology including better characterization of raw materials to minimize variability, improved fermentation for higher yields with experimental design and improved product quality with real-time process and quality control.
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Infosheet: Retail

Infosheet: RetailThis brochure explains applications and benefits of multivariate analysis in retail including increasing average basket size, improving customer segmentation & marketing strategies, and optimizing demand planning & merchandising assortments
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