The chemical industry of the future will be awash with data, from process sensor inputs to product and raw material analysis, marketing and sales and much more.
However, this tsunami of data is useless unless it brings insight and knowledge. The transformation of ‘Big Data’ into lean and useful information is a significant challenge for all industry sectors.
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The chemical sector needs to identify universal solutions for handling large amounts of data. We need methods to improve data reliability and techniques to assign data to appropriate product performance parameters. Operational optimisation through the use of big data will be based on statistical mathematical models and machines using tools to detect process or product abnormalities, to make predictions, to optimise and increase knowledge of both production and commercial processes. This will achieve optimum sustainable and competitive outcomes.
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