TrendMiner is an advanced analytics platform for time series data enabling experts in the process manufacturing industry to analyze, monitor and predict process and asset performance in their operational context to improve operational excellence and overall profitability.
Process manufacturing companies continuously strive to optimize overall equipment effectiveness, performance, and profitability, while complying with new and ongoing regulations. With the right tools and expertise, the wealth of data generated by these companies from sensors, instruments and assets could be analyzed and used to optimize processes. But traditional “big data” solutions require complex IT projects and data scientists to build and maintain models. Aside from being costly and time-consuming, this approach can create resource bottlenecks and at the same time underutilize their own process and asset experts. TrendMiner from Software AG enables domain experts to analyze, monitor and predict the performance of manufacturing processes via an intuitive user interface, without the need for support from data scientists or IT. With TrendMiner, process engineers and operators can easily search for trends, question their process data directly, create fingerprints for early warnings, and predict the performance of batch, grade, and continuous production processes.
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