TrendMiner overview: Next Generation Self-Service Industrial Analytics
Analyze, monitor and predict process and asset performance in their operational context to increase profitability
Process manufacturing companies are continuously striving to optimize overall equipment effectiveness, performance and profitability, while still complying with new and ongoing regulations. These companies sit on a wealth of data being generated from sensors, instruments and assets, and the amount of data being created is only increasing. Traditional methods of “big data” solutions require complex IT projects and data scientists to build and maintain models. Aside from being costly and time-consuming, this way of working can also create resource bottlenecks in your organization and underutilize your process and asset experts.
Turning big industrial data into actionable information may seem like a huge task – but TrendMiner makes it easy. Results are delivered fast, directly into the hands of the people who can really interpret the data, allowing them to uncover insights at all levels of production, improving day-to-day decision-making.
TrendMiner’s plug-and-play software is easy to use and adds value immediately after deployment. It meets the high demands of time series industrial analytics – but is designed to be used by non-data scientists. Data, captured in historians, is automatically visualized in user-friendly trend views. Users get recommended root causes and can monitor performance in real-time to make better decisions, faster.
With TrendMiner, process and asset experts are empowered with advanced analytics to analyze, monitor and predict the operational performance of your assets within the context of their operational performance.
All kinds of events may impact operational performance. Capturing and combining critical events with time series analytics will shed new light on your production process. Contextual information may reside in various data silos, such as your LIMS, MMS or OEE system. Captured contextual information can be leveraged for data driven decisions in the control room and can be the starting point for continuously improving operational excellence through self-service analytics. Contextualization of your time-series data helps you shift performance to the next gear.
Self-service analytics enables subject matter experts to contribute to overall organizational performance objectives, such as improved overall equipment effectiveness, reduced waste, production with consistent quality, reduction of carbon footprint and increased operational safety. TrendMiner for continuous improvement enables the organization to gain Operational Excellence and increase overall profitability continuously. We help customers in both upstream and downstream by giving them the answers they need.
Discover how you can analyze, monitor, and predict the performance of your batch, grade, and continuous plants with software that’s easy to learn and easier to use. Get technical information on all its key features, as well as practical examples of how these capabilities can help you every day.