In Software AG’s TrendMiner 2023.R4 release, the integration of data sources is simplified to accelerate IT/OT convergence. This builds on improvements that extended support...
By understanding the function of these algorithms, process engineers can bridge the gap between local domain experts and analytics teams to produce effective soft sensors for ...
Data analytics software can be applied to a variety of production operations. Identifying energy efficiency losses is one example of how the software can deliver fast results....
Case study examples from DSM Dyneema and Hunstman Corp. illustrate how providing everyone with simple-to-use analytics tools can dramatically improve production and business operations...
To make data lakes work for time-series data, it’s important to add good metadata, ensure the ability to connect your analytics platform to your data lake, and take steps to improve...
As a pandemic forces social distancing, manufacturers are using technology to stay connected, creating a new vision for how data is aggregated, shared, and acted upon to unite...
Translating raw data into usable information has been a difficult task for industrial companies. Using TrendMiner, a self-service industrial data analytics software, Sitech was...
TrendMiner and Eschbach announce a global partnership to integrate their analytics and shift reporting tools to enhance operations in the manufacturing and process industries....
