Software AG’s TrendMiner 2021.R1 release puts data science in the hands of operational experts
Embedded notebooks that bridge the knowledge gap between engineers and data scientists
Multiple asset framework support that eases enterprise roll outs
Houston Texas, Hasselt Belgium and Darmstadt Germany, 28 January 2021:
Software AG’s TrendMiner has announced the release of TrendMiner 2021.R1. This latest release brings a completely new functionality of notebook integration, which helps users access both data dashboards and code-based data analysis. Also in 2021.R1 are extended capabilities to support multiple asset frameworks and many new user-driven features to help end users improve operational performance and overall profitability.
Bridging the gap between engineers and data scientists
TrendMiner enables operational experts in process manufacturing industries to analyze, monitor and predict operational performance using sensor-generated time-series data. The goal of TrendMiner has always been to empower engineers with analytics for improving operational excellence, without the need to rely on data scientists. In doing so, TrendMiner brought data science to the engineer. In the 2021.R1 release, TrendMiner makes the next step of this journey by notebook integration functionality into the software so users can easily jump from looking at data in a TrendMiner view to working with it in a code-based data science environment.
With their data science libraries of choice (e.g. Pandas, NumPy, SciPy, SciKit-Learn), engineers can create and run custom scripts themselves for advanced statistical analyses and use AutoML capabilities to build machine learning models for anomaly detection. On top of that, they can operationalize the resulting notebook visualizations (also created with libraries of their choice such as Matplotlib, Plotly, Seaborn) as dashboard tiles in TrendMiner DashHub.
“Classical data sciencedepends on bringing process / asset know-how to the data scientist, while Self-service analytics aims at packaging up a subset of the data science modeling capabilities and bringing these to the subject matter expert as a robust set of features (no technical tuning parameters, no data science training needed). Companies that recognize the potential in interweaving these complementary approaches will be the ones that can accelerate their operational efficiencyandcompetitive advantage.”
Thomas Dhollander, CTO and co-founder of TrendMiner
Support for multiple asset frameworks for global operating customers
To support enterprise rollouts and the increased complexity of existing IT-landscapes, TrendMiner has extended its capabilities for handling multiple plant breakdown structures also known as asset frameworks. OSIsoft PI users can easily connect multiple OSIsoft PI Asset Framework servers and set access permissions.
Besides support for multiple PI AF structures, multiple CSV asset trees can be imported for use as a data source within TrendMiner. As a result, System Administrators can better control accessibility with the ability to publish and unpublish structures, while the users have more flexibility to analyze the operational performance of multiple plants and production lines, each with their separate plant breakdown structures.
Customer-driven product enhancements
TrendMiner’s mission is to democratise analytics for process manufacturing companies. This means each operational expert must be able to easily analyse the process data and help optimise production performance. To make working with TrendMiner as easy as possible, each release we make improvements in response to user ideas and suggestions. The most important enhancements in the TrendMiner 2021.R1 release include:
Organize & share searches: Organize your saved searches together with your saved views, formulas, fingerprints etc. in (project) folders in your work organizer and benefit from the existing sharing options to spread the word and give your colleagues insights into your analytics discoveries.
DashHub ‘value tile’with conditional formatting and multiple tags: Extend your DashHub dashboard with color-coded value tiles to highlight abnormal/out-of-spec values exceeding control or alarm limits, with the option to include a graph to spot trends/drifts. You can also select multiple tags or attributes to show in one tile.
ContextHub usability improvement for Overlapping instant items in the Gantt chart: In the previous release we introduced an additional feature to make it easier to see context items that are overlapping in the Gantt chart. Now this feature is extended for instant items. The concept remains the same, if there are overlapping instant items, you can expand the row to display them all.
You can view the official press release here. To see TrendMiner’s functionality in-action and learn how analytics-empowered process and asset experts can help accelerate operational performance, click here to request a demo.
TrendMiner, a Software AG company and part of the IoT & Analytics division, delivers self-service data analytics to optimize process performance in industries such as chemical, petrochemical, oil & gas, pharmaceutical, metals & mining and other process manufacturing industries. TrendMiner software is based on a high-performance analytics engine for time-series data that allows users to question data directly, without the support of data scientists. The plug-and-play software adds immediate value upon deployment, eliminating the need for infrastructure investment and long implementation projects. Search, diagnostic and predictive capabilities enable users to speed up root cause analysis, define optimal processes and configure early warnings to monitor production. TrendMiner software also helps team members to capture feedback and leverage knowledge across teams and sites. In addition, TrendMiner offers standard integrations with a wide range of historians such as OSIsoft PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian and Wonderware InSQL.
Founded in 2008 and now part of Software AG, TrendMiner’s global headquarters is located in Belgium, and has offices in the U.S., Germany, Spain and the Netherlands.