Frequently Asked Questions

What does it really look like to kick off an analytic journey? We've answered below. 

 

How do we define what analytics to pursue?

We typically suggest working backward from where you can create the most value. This starts with defining the problem, determining what data is available, and then defining which analytics + data can solve that problem.

Examples from others include:

  • Pump efficiency
  • Inverter underperformance
  • Blower efficiency
  • Nacelle misalignment
  • Pump station analytics
  • Chemical usage analytics
  • Automation of fault-based decisions

 

What is the architecture of the system?

NarrativeWave is a cloud-based SaaS supported with an uptime guarantee. You can host on your AWS servers if you prefer.

 

What is the system interface? Who are your target users, and what level of training is required?

Web-based interface. Target users are performance engineers, diagnostic engineers, asset managers, and O&M teams.

 

Here is a quick glance into our software:

Yellow Man Green Decision Tree Chart (4)

 

Is there a "learning element" to this system, or is it simply responding to defined rules?           

Yes, the system learns things in several ways, getting smarter over time, via your SMEs. This is done by enabling SMEs to add their knowledge to NarrativeWave easily, and by leveraging your data in near real-time to make definable outcomes. 

Two data examples: 

  1. From the data using ML techniques.
  2. From user labeled data (label root causes and the success of corrective actions, for example).

 

Internal operation teams are overworked and often do not have time to take on new proactive solutions. What can be done to engage internal stakeholders and impact their workflow? 

 

The output of implementing a genuinely self-service solution like NarrativeWave is to automate processes, define actionable outcomes, and "allow engineers to do more with less." As our customers say: "NarrativeWave helps them get time back."

 

NarrativeWave's product is a conduit to driving real operational impact in a matter of weeks by enhancing our engineers' time and workflow while giving more control to the internal operations.

 

In addition to our software, our Client Success Team implements strict execution plans around your needed KPIs, with your direct input and collaboration. This leads to NarrativeWave becoming an integral part of operations due to the immediate value experienced. 

 

Typically internal champions are interested in solving specific issues/workflow problems, manual processes, or desire to use automation to impact business operations. 

 

With most client engagements, it is the champion who drives the engagement, leverages NarrativeWave to show value via a POC exercise to validate investment in the software, and incorporates relevant "influencers" and peers to finalize the initial focus on the first use case, including the Project Plan. 

 

How do we validate the process and the results?

With an automated system, you can track the cause and effect, for the first time, across many assets in an integrated, efficient system. Using this process to start a quantitative tracking process is one of the other benefits. 

 

What are the common challenges to executing an engagement?

Key challenges to the level of success are data quality and accessibility. Access to engineers, albeit no more than 1-2 hours/week, is critical to the curation process on analytics. In addition, business automation and ROI is aided by the client's knowledge, input, and collaboration.

 

NarrativeWave Solution Overview:

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