Overcoming Data Inconsistencies to Support Informed Multi-Departmental Decision Making
Staff requested improved data accuracy to drive the system’s use across engineering, distribution, and customer service departments. The challenge involved benchmarking existing environments and creating a formalized update process to resolve spatial and attribute gaps in the legacy records for over 700 miles of pipe.
Implementing ASCE 38-22 Standards and Automated Quality Control Tools
Our team assisted the company in adopting the American Society of Civil Engineers (ASCE 38-22) standards, which rank utility mapping based on Quality Levels A through D. This tech bridges the gap between raw data and action through the implementation of automated Quality Control Tools and the Esri Data Reviewer extension, which identifies topology and connectivity issues instantly. By executing a pilot project covering 100,000 linear feet of water main, the team demonstrated how GPS and subsurface geophysical tools translate into centimeter-accurate digital twins. Real-time dashboards were developed to visualize the "data health check," allowing managers to track performance metrics and prioritize corrective actions. This structured framework ensures that new data delivered by contractors or updated by mark-out crews meets high spatial and attribute standards, creating a sustainable and reliable system of record.
Optimized Resource Allocation and Validated Data Integrity
The project established 34 recommendations for GIS improvement, resulting in a documented roadmap for enterprise-wide technology adoption. Validated standards and pilot testing provided the company with clear cost-benefit data for achieving high-quality subsurface mapping, ensuring long-term operational efficiency.
