Submitted by Luis Morinigo, VP Business Development & Strategic Partnerships at TwinThread
It’s one thing to uncover insights quickly. It’s something else entirely to be able to visualize those insights through customized graphical animations. Bringing your data to life by pairing insights with illustrated representations of the assets your experts interact with day in and day out allows for faster and more comprehensive understanding of the opportunity the suggested adaptation presents. By visualizing your information through these “digital twins”, operationalizing insights happens faster and more accurately.
A digital twin is a computer-based render or representation of a physical asset. For example, you have a fleet of pumps that you are monitoring. By applying a digital twin, you would be able to stay informed on the technical specifications and performance metrics regarding that pump, no matter where you’re located (anywhere in the world). So, instead of having to be right beside the pump itself to acquaint yourself with the in-line data, you’re never removed from it.
Not only will you see the current information about the pump, but you will also have the ability to see the history of the pump’s performance. This can support your experts in determining performance trends that will result in the prevention of outside ideal conditions and increase that particular asset’s life (and the life of all similar assets by scaling insights cross-operationally).
When a predictive platform visualizes your data, it’s making information more tangible and providing yet another perspective from which insights can be consumed and acted upon. The more ways your data can be interpreted, the less barriers there will be to understanding it clearly. Value will be experienced faster if understanding your data can be simplified. Visualizing and contextualizing your information is just one way that a predictive operations center accomplishes that.
To learn more about how we prove the value of our predictive operations platform quickly, schedule a demo.