In this webinar, we will focus on specific case study examples utilizing an agile framework to analyze non-continuous batch-focused data. Seeq simplifies the extraction of insights and value from data historians and varied disparate data sources specific to batch processes at any scale. 

Specifically, Seeq and the associated batch modules allow the scientist or engineer to quickly access and search batch-relevant data, add context, find patterns, establish boundaries, monitor assets, and allow collaboration in real time. 

Our expert speakers will discuss how you can leverage data analytics strategies to achieve: 
Development of data-driven models relating product quality to key process variables  Elimination of time consuming cutting and pasting of data  Reduced equipment cycle times with a cost-saving predictive maintenance approach  Automation of repeated analysis tasks with an eye towards streamlined reporting  Establishment of a truly collaborative problem-solving environment  Scientists and engineers must be able to thrive in a challenging business environment defined by operational challenges, regulations, market shifts, and competition. Join us for a chance to learn about data analytics strategies that enable you to redefine your business.
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