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Use Case

Use Case: RWE Improves Wind Turbine Performance

Explore the infographic below to learn why RWE partnered with NarrativeWave to automate corrective actions , saving time and money on turbine fixes at every level.
George Garforth
February 17, 2021
Use Case

Use Case: Oil & Gas

  Oil & gas performance operators lack critical insights into how assets are operating, from knowledge of efficiency to advanced notice of failures.    They are surprised by sudden asset failures, causing significant downtime. Living in the reactive, they rarely have the chance to optimize pump operations. Scroll below to dive into a NarrativeWave software use case, featuring Oil & Gas. 
Jaclyn Freedman
January 25, 2021
Infographics Use Case

Infographic: Enel and NarrativeWave - Electrical Submersible Pumps

  Enel successfully made the transition from having unplanned failures and excessive downtime, to using predictive analytics that significantly reduced downtime and supply chain costs.  Using NarrativeWave’s solution and transparent predictive analytics, Enel now has an average 54 days in advance notice of critical asset failure. Scroll below to dive into a NarrativeWave software high-level.
Jaclyn Freedman
January 20, 2021
Guides Worksheets

Quickstart Guide to Developing Impactful Analytics [Guide & Worksheet]

Looking to deploy advanced analytics on your energy assets?  We’ve helped develop and deploy analytics used on thousands of assets around the world.   
Alec Miller
December 3, 2020
Guides Blog Posts

Roadmap for Engineering Process Automation

Operators of industrial equipment constantly interpret and diagnose anomalies, patterns, and alarms that come from their equipment. The operators assign these tasks to engineers, who manually analyze them using the knowledge that they have developed over time. Humans are great at doing these tasks, but it takes significant amounts of time, is repetitive, and does not scale well.  The result is an.
Alec Miller
June 3, 2021
Blog Posts

Three Ways to Bring Wind O&M in-House With Ease

Energy organizations are seeing the extensive value that self-performing operations and maintenance can have on their bottom line.   From reducing downtime to improving productivity and overall ROI,  this trend is clear:  While the market has traditionally been led by OEMs providing these services, OEMs are beginning to lose market share in O&M due to a push from leading asset operators for more.
George Garforth
April 29, 2021
Guides Blog Posts

Guide: Improving Operations with Self-service Analytics

There are lots of buzzwords that are used to talk about analytics and digital tools, such as Digital Twin, AI, and Machine Learning.  These are critical technologies that are affecting every industry, but how practically can these be used to improve energy operations?   Read on to explore our guide, "Beyond the Hype: Self-Service Analytics to Really Get Things Done," and start improving your.
George Garforth
February 17, 2021
Guides Blog Posts

How Machine Learning Improves Asset Performance

  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.
Alec Miller
November 4, 2020
Guides Blog Posts

How to Use Advanced Analytics to Produce Actionable Outcomes

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.
Alec Miller
October 6, 2020
Guides Blog Posts

Human-Centric Data-to-Decision Analytics for the Industrial IoT (IIoT)

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. We believe the best route to data analytics and particularly analytics for the Industrial Internet.
Alec Miller
December 16, 2018
Blog Posts

Our Custom Approach to a Successful Pilot

  NarrativeWave client exceeds their business goals within the first few weeks of starting the engagement.   The power of preparation is one of the key ingredients to a successful pilot. Let me share a live experience with a Top 5 global renewables company with whom we are currently executing a paid pilot. At NarrativeWave, we take a unique approach in the IoT space to a pilot engagement.  Our.
Alec Miller
October 16, 2018
Blog Posts

Wind Power & Renewable Energy: How to  Implement Near Real-Time Analytics & Automation

How the Renewable Energy Industry can use Near Real-Time Analytics to Improve Asset Performance and Outcomes   While wind turbine manufacturers and wind farm operators have developed suites of advanced applications to help diagnose operating anomalies on wind turbines, many are still taking a “trip first, analyze later” approach. This approach made sense when the application of near real-time.
George Garforth
August 16, 2018
Case Studies

[Case Study]: How Enel Green Power Saved Time and Operational Costs with NarrativeWave

90% reduction in downtime, 54 days advance notice of failures, a streamlined detection-to-repair process, increased internal communication, improved supply chain management; these are just some of the improvements Enel Green power has seen since implementing the NarrativeWave solution.   Scroll below to learn more about why EGP choose NarrativeWave when they needed to go Beyond Monitoring.  
Alec Miller
April 22, 2021
Case Studies

[Case Study]: How RWE Improved Maintenance Operations with Automated Corrective Actions

RWE shares how they transitioned from using the original equipment manufacturer’s (OEM) maintenance services to self-performing the maintenance activities.  As a result, RWE has reduced the time it takes to identify corrective actions, reducing the number of turbine visits, and improving internal processes. Learn more by filling out the form below.
Alec Miller
January 26, 2021
Use Case

Use Case: RWE Improves Wind Turbine Performance

Explore the infographic below to learn why RWE partnered with NarrativeWave to automate corrective actions , saving time and money on turbine fixes at every level.
George Garforth
February 17, 2021
Use Case

Use Case: Oil & Gas

  Oil & gas performance operators lack critical insights into how assets are operating, from knowledge of efficiency to advanced notice of failures.    They are surprised by sudden asset failures, causing significant downtime. Living in the reactive, they rarely have the chance to optimize pump operations. Scroll below to dive into a NarrativeWave software use case, featuring Oil & Gas. 
Jaclyn Freedman
January 25, 2021
Infographics Use Case

Infographic: Enel and NarrativeWave - Electrical Submersible Pumps

  Enel successfully made the transition from having unplanned failures and excessive downtime, to using predictive analytics that significantly reduced downtime and supply chain costs.  Using NarrativeWave’s solution and transparent predictive analytics, Enel now has an average 54 days in advance notice of critical asset failure. Scroll below to dive into a NarrativeWave software high-level.
Jaclyn Freedman
January 20, 2021
Videos

[Video]: Self-Service Analytics to Really Get Things Done

How specifically can an organization implement and use analytics to make an impact? In the video below, Alec Miller and Dr. George Garforth share their experience with implementing self-service analytics to provide: 1) Actionable Insights. 2) Improved Communications. 3) An Ongoing Feedback Loop. Follow up with our Self-Service Guide to begin implementing today. 
George Garforth
March 1, 2021
Videos

[Video]: How it Works - NarrativeWave's Self-Service Solution

Imagine if instead of monitoring and routinely reacting to alerts, you could create valuable insights, predict failures, and automate corrective actions.   We make it easy for you to combine the power of advanced analytics with your engineering knowledge to go beyond monitoring - improving asset performance and engineering productivity.
Benjamin Decio
January 29, 2021
Videos

[Video]: How Enel Green Power Achieved Proactive Operational Status - and Advance Notice of Failures

In this video, NarrativeWave and Enel share how they partnered to help Enel transition from reactive to proactive operations, and what it took to really get there. Enel Green Power successfully made the transition from having unplanned failures and excessive downtime, to using predictive analytics that significantly reduced downtime and supply chain costs, while improving overall system.
Alec Miller
January 28, 2021
Videos

[Video]: Advanced Monitoring - Solar Solutions

Unplanned maintenance activities are the highest operational cost of a solar power plant. It doesn’t have to be that way.  Preventative maintenance - and improved operations, are easier to accomplish than you think. Discover how to deploy advanced analytics on your solar assets below.
Jaclyn Freedman
November 27, 2020
Videos

[Video]:  RWE Improves Maintenance Operations

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. 
Alec Miller
October 7, 2020
Guides Blog Posts

Roadmap for Engineering Process Automation

Operators of industrial equipment constantly interpret and diagnose anomalies, patterns, and alarms that come from their equipment. The operators assign these tasks to engineers, who manually analyze them using the knowledge that they have developed over time. Humans are great at doing these tasks, but it takes significant amounts of time, is repetitive, and does not scale well.  The result is an.
Alec Miller
June 3, 2021
Guides Blog Posts

Guide: Improving Operations with Self-service Analytics

There are lots of buzzwords that are used to talk about analytics and digital tools, such as Digital Twin, AI, and Machine Learning.  These are critical technologies that are affecting every industry, but how practically can these be used to improve energy operations?   Read on to explore our guide, "Beyond the Hype: Self-Service Analytics to Really Get Things Done," and start improving your.
George Garforth
February 17, 2021
Guides Worksheets

Quickstart Guide to Developing Impactful Analytics [Guide & Worksheet]

Looking to deploy advanced analytics on your energy assets?  We’ve helped develop and deploy analytics used on thousands of assets around the world.   
Alec Miller
December 3, 2020
Guides Blog Posts

How Machine Learning Improves Asset Performance

  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.
Alec Miller
November 4, 2020
Guides Blog Posts

How to Use Advanced Analytics to Produce Actionable Outcomes

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.
Alec Miller
October 6, 2020
Guides Blog Posts

Human-Centric Data-to-Decision Analytics for the Industrial IoT (IIoT)

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. We believe the best route to data analytics and particularly analytics for the Industrial Internet.
Alec Miller
December 16, 2018
Infographics Use Case

Infographic: Enel and NarrativeWave - Electrical Submersible Pumps

  Enel successfully made the transition from having unplanned failures and excessive downtime, to using predictive analytics that significantly reduced downtime and supply chain costs.  Using NarrativeWave’s solution and transparent predictive analytics, Enel now has an average 54 days in advance notice of critical asset failure. Scroll below to dive into a NarrativeWave software high-level.
Jaclyn Freedman
January 20, 2021
Infographics

Infographic: Self-Service Analytics

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.
Alec Miller
November 19, 2020

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