Industry:
Agriculture
Focusing on ESG is a challenge that agro-industrial sector has faced. To this end, the sector has innovated by investing in technologies that act directly on the production system, such as data science
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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 manufacturing industries are using Data Science to transform their operations:
- Real-time data collection, which enables the creation of a historical database for enriching analyses on the use of resources such as fertilizers or pesticides;
- Insights that lead to adjustments in equipment, such as packaging machines, and allow for the correction of overweight issues and maintain pre-established standards, in addition to a reduction in final product loss
- Visibility in the decision-making process, focused on ESG, operational and environmental aspects, results in better use of natural resources such as water, energy, and gas emissions.
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-
The Intelligent Use of Valves in Industry
A case study on reducing maintenance costs and downtime
Full case +
