The newest addition to Texas811 Customized Solutions is Predictive Analytics.
Applying predictive analytics to one-call notifications promises exponential growth in the ability of utility operators to (1) identify excavations most likely to cause damages and (2) intervene to prevent excavation damage before the ground is broken.
It starts with a real-time risk analysis score that's included on your copy of a Texas811 ticket before you receive it.
What is a risk analysis score?
Using the past four years of one-call notifications and damages in the Texas811 database, a predictive analytics engine provides a real-time score indicating the probability that a specific excavation will result in excavation damage.
How is the risk score determined? Risk factors include everything on the one-call ticket including proximity to high value lines, nature of work, excavator history, digging depth, geographic location, etc.
How does the system work?
Texas811 merges our database of excavations and damages with Opvantek's predictive analytics engine to provide this new level of damage prevention to Texas811 members. Opvantek has demonstrated that their real-time risk analysis scores combined with pre-excavation intervention results in around 30% damage reduction year over year.
Predictive Analytics can benefit you in two ways.
The primary benefit is a significant reduction in damages. Opvantek data demonstrates that companies who intervene prior to excavation on excavations with the highest risk scores realize around a 30% reduction in damages.
If your company already intervenes prior to excavations, Predictive Analytics helps you identify the lowest risk excavations and gives you the opportunity to reposition assets to address excavations with the highest probability of damage.
to watch a one-minute video to see how the predictive analytics engine works!
For information about other Texas811 Customized Solutions option, visit our webpage
Since going operational in 2015, Customized Solutions has collectively saved 17 Member companies more than $10 million in unnecessary locating fees.