Resources

Go beyond traditional monitoring by combining advanced analytics and your existing engineering knowledge. With NarrativeWave's self-service solution, you can easily put your knowledge into action. Our custom platform is powered by machine learning and decision trees that produce more than standard alerts - they produce critical insights you can use to improve your operations.  Through automating.

  Unplanned maintenance activities are the highest operational cost of a solar power plant. It doesn’t have to be that way.     Discover how to deploy advanced analytics to improve operations and deploy preventative maintenance by watching the video below.

  In today’s competitive energy markets, operators need to be highly efficient at their operations in order to compete. This includes the need to effectively use their existing knowledge to improve asset performance, as well as the need to make sense of the large volume of data available to them. Fortunately, machine learning (ML) can be a powerful tool to help make sense of the data and drive.

RWE, a top global renewable energy operator, partners with NarrativeWave to improve maintenance operations.   What if you could use analytics to automatically know the most probable corrective action on turbines, using your organization’s existing knowledge? Watch this video to learn more about how RWE has utilized NarrativeWave to improve their maintenance operations. 

Energy operators today face increasing competition and price pressure, and are seeking new ways to be more efficient. Traditionally, many operators have implemented standard monitoring solutions, which focused on alerting engineers and operators about issues on their assets. This approach requires a manual diagnostic process to distinguish true / false alarms, determine their meaning and.

“Our collaboration with NarrativeWave has provided us with an innovative solution that allows for better planning and prediction of maintenance activities at our geothermal sites, reducing costs and increasing productivity,” said Stephen Pike, Head of Enel Green Power’s Operations and Maintenance (O&M) in North America. “Innovation is core to our continued operational excellence and through.

As companies engage in the implementation of analytics and data science applications, many challenges lie ahead. According to the Harvard Business Review, many data science applications fail due to poor goal definition, a lack of understanding of the key data, or a lack of focus on business value.

NarrativeWave client exceeds their business goals within the first few weeks of starting the engagement.  

Key Elements of Effective Industrial Analytics for the Aviation Industry  

How the Renewable Energy Industry can use Near Real-Time Analytics to Improve Asset Performance and Outcomes