Startup Showcase: TrendMiner – Self-Service Analytics for Process Industries

When it comes to process manufacturing industries, optimizing performance can be a daunting task. However, with TrendMiner, process experts can now harness the power of self-service data analytics to speed up root cause analysis, define optimal processes, and configure early warnings to monitor production. As a Software AG company, TrendMiner offers a high-performance analytics engine for time-series data, eliminating the need for data scientists and infrastructure investment.

Self-Service Data Analytics for Process Manufacturing

TrendMiner’s self-service data analytics software is designed for industries such as chemical, petrochemical, oil & gas, pharmaceutical, metals & mining, and other process manufacturing industries. The software delivers discovery, diagnostic, and predictive analytics to subject matter experts, allowing them to question data directly and gain insights that improve process performance. With TrendMiner, users can analyze data from a variety of sources, including historians such as OSIsoft PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian, and Wonderware InSQL.

Plug-and-Play Software that Adds Immediate Value

One of the key advantages of TrendMiner’s software is its plug-and-play design, which eliminates the need for infrastructure investment and long implementation projects. Upon deployment, the software adds immediate value by providing search, diagnostic, and predictive capabilities that speed up root cause analysis, define optimal processes, and configure early warnings to monitor production. This enables process experts to make data-driven decisions quickly, without the need for IT support.

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Capture Feedback and Leverage Knowledge Across Teams and Sites

TrendMiner’s software is also designed to help team members capture feedback and leverage knowledge across teams and sites. The software provides a platform for collaboration and knowledge sharing, enabling process experts to work together to solve problems and optimize performance. This is particularly important in industries where process experts may be distributed across multiple sites, making it difficult to share information and collaborate effectively.

Standard Integrations with a Wide Range of Historians

To ensure that its software is compatible with a wide range of data sources, TrendMiner offers standard integrations with a variety of historians, including OSIsoft PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian, and Wonderware InSQL. This makes it easy for process experts to connect to their existing data sources and start analyzing data right away.

Conclusion

In conclusion, TrendMiner is an innovative self-service data analytics platform that empowers process experts to optimize performance in industries such as chemical, petrochemical, oil & gas, pharmaceutical, metals & mining, and other process manufacturing industries. With its high-performance analytics engine, plug-and-play design, and standard integrations with a wide range of historians, TrendMiner provides process experts with the tools they need to make data-driven decisions quickly and efficiently. Check out TrendMiner’s website and social media channels to learn more.

Website: https://www.trendminer.com

Twitter: http://twitter.com/trendmining

Facebook: https://facebook.com/trendminer

LinkedIn: https://www.linkedin.com/company/trendminer


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