How we prepared data from 56,000 assets for digital twin modeling
In the face of a complex geotechnical landscape, our client, managing over 56,000 assets, struggled to derive actionable insights from their geotechnical information.
Traditional Methods Fall Short
Our client was sitting on valuable geotechnical information from their portfolio of 56,000 assets, but had challenges comprehending and extracting valuable insights from raw, siloed data.
Customized Mapping and Automated Scoring
Our solution surpassed traditional reporting by offering asset-specific reports, customized mapping, and expertise from utility and geotechnical engineers. With an automated scoring system evaluating geotechnical variables, each asset received a distinct rating.
Verified Data Builds Digital Twin Models
Asset ratings considered both intrinsic attributes and geotechnical conditions, providing asset management teams with a practical tool for prioritizing resources and allocating budgets based on risk levels. By sorting, verifying, and harmonizing data sets, our solutions establish a unified system of record that feeds into Digital Twins, ensuring digital models match what's in the field.
