The growth of the digital utility is driving a shift toward advanced systems and grid analytics. Utility companies are developing new capabilities, and are introducing new business models to meet changing operational dynamics. While data is growing exponentially, its quality and accuracy are often suspect. Poor data governance practices and expensive labor and tools to ensure premium data quality are costing utilities dearly. Utilities are spending anywhere between $20 million and $50 million to obtain essential data to drive operational systems like Advanced Distribution Management System (ADMS).
An absence of proven and sustainable solutions will hamper the growth plans of utilities from both a cost and time perspective. This makes it critical for utility companies to choose the right tools and solutions to make their digital transformation seamless and efficient—an integrated data management solution.
By leveraging our rich knowledge of electrical network data models, connectivity rules, and the data requirements of advanced systems, Cyient has designed and developed an advanced data validation solution called Intelligent Data Management Solution (iDMS). This solution is configurable and cloud-based. It performs GIS data assessment, validates the data against other relevant systems, and governs data quality for ADMS readiness.
Working in tandem with GIS, asset management, customer, meter, and other data-intensive systems, iDMS allows utilities to continuously monitor, flag, and correct input data quality using configurable machine learning validation routines. More importantly, it improves data accuracy and turns underutilized capital investments into productive resources by leveraging smart meter data to automate network data validation.
Cyient’s iDMS ensures operational systems perform to their fullest capacity and helps in improving data quality, performing accurate power flow studies, improved fault identification, more realistic outage predictions, and reliability reporting.