Industry:
Chemicals
The Chemical Industry is constantly innovating to meet the market's demand and establish more sustainable production processes. In this context, data science is the key to advances in ESG and R&D areas.
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With the numerous challenges faced by the manufacturing industry, it is necessary to adopt a fast, flexible and scalable Solution. The ST-One™ Solution works in partnership with the industry to not only collect data, but explore the most valuable ones to develop applications such as Performance, Maintenance and Quality, R&D, Natural Resources and Raw Materials according to its needs.
ST-One's team has experts who monitor all project stages, providing insights and personalized analysis.
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Here's how leading industries are using data science to transform their operations:
- The integration of connected machines on a unified platform enables the development of large projects, resulting in the non-emission of 8000 tons of CO2 into the atmosphere
- The exploratory data analysis in R&D accelerates the development of chemicals and predicts the properties of new compounds. This increases project reliability and assists in identifying patterns
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- Dynamic visibility and automation that allow the identification of consumption areas exceeding the setpoint. This feature has already resulted in 28% kW of energy savings per hour
- Discovering and exploring data enable predictive maintenance, ensuring a more stable and safe process by forecasting potential errors and reducing the risk of accidents.
ST-One Solution
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The ST-One™ Solution collects data produced by your industrial machinery and, through an intelligent algorithm, enables it to be organized and classified.
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The ST-One team processes the collected data and translates it into dynamic dashboards, with an easy-to-view interface, that can be accessed from any device
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The flexibility of a SaaS Solution, combined with Data Science, allows you to map and create solutions for all industry issues and predict future adversities
Case Success
Download the success cases and explore how data science impacts and generates value in all sectors of the manufacturing industry
Case Success-
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
Full case + -
The Intelligent Use of Valves in Industry
A case study on reducing maintenance costs and downtime
Full case +
