TrendMiner, a Software AG company, has joined forces with GE Digital to place data-driven decision making in the hands of operational experts working in the energy industry.

The advanced analytics solution enriches GE Digital’s robust suite of Asset Performance Management (AMP) software. It helps complete the portfolio of one of the world’s largest energy software companies to provide a full overview of operations for process experts.

Companies have achieved great success with TrendMiner throughout the energy industry, including use cases for operational improvements in oil and gas; metals and mining; and petrochemicals.

“The addition of TrendMiner’s process analytics capabilities will allow us to provide customers with full awareness of their operations at the asset, plant, fleet, and enterprise level,” said Linda Rae, General Manager of GE Digital’s Power Generation and Oil & Gas business.

“As companies adapt to shifting demands for products and calls for increased efficiency and lower emissions, it is critical that companies have a holistic picture of their data and, most importantly, that the data drives action. We look forward to sharing these new capabilities with our customers and seeing them produce improved business outcomes,” added Rae.

TrendMiner empowers process experts to analyze time-series and contextual data without the help of a data scientist. It helps process experts work together with data science teams in the platform’s machine learning environment, where more use cases can be tackled, and a true collaboration can be fostered.

“Strategic partnerships enable organizations to bring the best of their strengths and talent forward to the benefit of their customers,” said Joan van de Wetering, TrendMiner’s General Manager.

“Combining GE Digital’s strengths in optimizing asset performance and TrendMiner’s strengths in providing capabilities to analyze, monitor, and predict process behavior enables manufacturing companies to continuously improve their overall operational performance,” added Wetering.