BKS EAMS has the ability to aggregate, integrate and analyse asset data in a network model-based approach which helps asset owners, field fleet, protection team to advance from their traditional approach on utilizing the defined asset information to a geospatial model based power asset analytics in support of their engineering, asset policy and strategy, asset performance management, investment planning, risk management, and regulatory reporting and filing processes for maintenance. 

BKS EAMS also serves as the centre for having the asset health index which becomes a very integral part of day to planning, operation and optimization. Working on grid analytics and edge application principle this becomes the aggregation of data lake. Thus, the reliability-based analytics helps are many business benefits to be derived from advanced asset analytics and visualization solutions. 

BKS  EAMS covers most of the common requirements of maintenance and management of assets by integrating the silos of functions with its digital twin platform.

BKS  Electrical Asset Management System (EAMS) uses pattern recognition and sophisticated data mining techniques to determine when a piece of equipment is performing poorly or is likely to fail. System learns from an asset's individual operating history and develops a series of normal operational profiles for each specific piece of equipment. System then compares the known operational profiles with real-time data to detect subtle changes in system behaviour that are often the early warning signs of pending equipment failure. An advanced alarm manager provide near real-time updates of how well a plant, unit or system is functioning. 

BKS intelligent EAMS also includes advanced analysis and diagnostic capabilities for identifying why an asset is not performing as expected. The early identification of equipment problems leads to reduced maintenance costs and increased availability, reliability, production quality and capacity. The software works across all types of verticals and industrial applications.

 BKS EAMS is an open platform that supports the ability to integrate with any leading control, monitoring, or historian system to provide a holistic equipment health and performance monitoring solution. Predictive maintenance significantly reduces the time and cost of maintaining industrial assets as opposed to more traditional preventative, interval-based maintenance approaches. Predictive maintenance takes into Electrical Asset Management System Internal account how a piece of equipment has operated and its current health to help minimize time and resources spent on unneeded maintenance, which results in better maintenance of industrial assets and increased operational efficiency.