Businesses in the utility and mining sectors need assets management, monitoring, analytics capabilities, real-time data integration and monitoring capabilities with customized enterprise applications to derive greater insights from geospatial data for informed decision-making.
Our Geospatial Services help you leverage digital technology and engineering expertise by bringing customers from different utility technologies to a single Esri Utility Network Model Platform. Our end-to-end services, including consultancy, Utility Network & Asset Management services, and data migration to the Esri platform, deliver customized solutions for your business to grow at scale. We enable the integration of the GIS Enterprise system with other existing and new systems for asset management, financials, and planning, improving information visibility to drive effective and strategic business decisions.
When a large utilities enterprise wanted to implement an ESRI Utility Network-based enterprise GIS solution for various commodity types, they knew they were in for an overwhelming transformation. Cyient’s implementation with AWS architecture for the gas network included common data model development, standard product deployment and configurations, and ease of data conversion and migration, which ultimately resulted in an increase in operational efficiency.
An electric utility company needed a GIS solution, data storage, and a utility network model with data integration and migration. Cyient implemented the Enterprise GIS solution using the Azure cloud architecture and provided a fully-integrated data storage model. This resulted in an increase of operational efficiency along with improved overall performance and quality via the ESRI platform.
For a leading energy company, multiple siloed operational technologies to a large amount of manual analysis reducing project efficiency. Cyient solved this by deploying a network model system along with data governance processes. The company was thus assured zero data and attribute losses, efficient handling of data, and elimination of human errors.
