Resources
Natural
The ST-One Solution allows the data of your industry to be collected and, through an intelligent algorithm, to be classified and organized.
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Our data scientists take care of the data and create dynamic dashboards in an easy-to-view interface that can be accessed from any device.
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The Solution for the application of natural resources in different industries is relevant to, for example:
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Monitoring water in reservoirs, collecting level, quality, temperature and consumption data remotely and in real time, by connecting it to equipment already present in the industrial environment. With this data, it is possible to optimize the use of water, avoiding waste, leaks and contamination.
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Intelligent energy metering, using networks that allow better monitoring of consumption and distribution in each unit, by connecting the solution to the equipment already present in the factory environment. This makes it possible to reduce costs, increase reliability and make decisions that will, for example, reduce carbon emissions.
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Improve natural gas management by integrating the solution with sensors or cameras already present in the industry to monitor gas exploration and transportation. This will increase the safety, quality and efficiency of the process, as well as reducing impacts on soil and biodiversity.
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The flexibility of our SaaS solution, combined with Data Science, allows us to map and create solutions to prevent future adversities.
Case Success
Find out more about how we help our clients improve performance, monitor quality and maintenance indicators, support important Research and Development decisions, assist in the management of natural resources and raw materials, among other possible applications:
Case Success-
Sustainability and innovation: steam production with data science
A Case Study on Performance Analysis and Quality Enhancement
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Henkel reduces water costs and gas consumption with the ST-One Solution™
A case study of how Data Science optimized gas use and lowered water costs in a chemical industry
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Data Science and OEE: the key to Reliable Efficiency
A case study on how Data Science contributed to the increase of OEE in a beverage manufacturing industry
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Data Science at food industry: how to take a leap in productivity
A case about how Data Science made productivity and performance in a food industry take a leap
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