Industry:
Pharmaceutical
Having reliable data is crucial during recipe production in the pharmaceutical industry. Developing large-scale medications quickly, safely, and with less rework is a responsibility that can be enhanced with the use of 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:
- Increased quality control by continuously monitoring production parameters and detecting deviations in real time. This facilitates audits and ensures compliance with regulatory standards.
- Cross-referencing of information generated during the production of the recipe to optimize production. From historical data, it is possible to identify the best process and product strategies.
- Reduction of R&D costs by safely advancing the results of research carried out in the laboratory. The accuracy provided by the equipment monitoring avoids rework and induces the optimal use of inputs.
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-
Inside out of an industry lab: the use of data science in R&D area
This case presents how the use of Data Science in R&D laboratories contributed to the development of new projects
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The Intelligent Use of Valves in Industry
A case study on reducing maintenance costs and downtime
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