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Chemical industry’s success lies on chemiformatics

Chemical industry deals with lots of data sets. Some of these data are relevant to product development and the rest of them mostly helps to identify external parameters governing the production process. Generally, big data help to facilitate cost cutting issues. It brings a new product to the market and improves industry environment. Intellectual sensors are integrated with the research and material related informatics. This process minimizes the time required for new innovation. Sensitive sensors can also help to predict the upcoming situation by measuring current situations. Big data works in the back end. This ensures worker's safety by analyzing the toxic level, heart rate, etc. Intelligent sensors diagnose the past chemical data and all possible combinations to predict the new combination. It smoothens the R&D process. Therefore, automation, safety guide and intelligent forecasting are the key mantra for success in the chemical industry.

 To read, follow:  https://www.environmentalleader.com/2016/02/23/how-big-data-is-changing-chemical-manufacturing/ 

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Internet of Things to Analytics of Things

 

Internet of Things (IoT) helps in transfer of data over a network without human interaction and this is one of the major sources of Big Data. Tom Davenport, independent senior advisor to Deloitte Analytics agrees that even though the concept of IoT implies that the most important feature of sensors is their connectedness but in order to analyze the data generated and use it for efficient action, analytics is required. This has been referred as the “Analytics of Thing” by him. Compiling data from devices and comparing them across time for achieving best results is one of the principal advantages. Utilizing data to optimize processes, identifying maintenance problems, diagnose anomalies and identifying reason for variations are other things that can be included in the Analytics of Things. Davenport suggests that companies that have to work with fast paced data and have relatively less experience with sensor analytics should invest in The Analytics of Things. Read more at: http://www.tibco.com/blog/2015/05/20/moving-from-the-internet-of-things-to-the-analytics-of-things/

 

 

 

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