EVM 2.0
Earned Value Management was state of the art in the 1960s. EVM 2.0 extends this with accurate ML, predictive analytics, and data integration. We have transformed EVM from a lagging to a leading indicator.
The evolution of EVM
EVM as Leading Indicator - Predictive Analytics
Cybereum's EVM 2.0 leverages AI-driven predictive analytics to project cost and schedule performance accurately. By analyzing historical project data and real-time inputs, the system forecasts potential overruns and delays, enabling proactive management.
Comprehensive Earned Value Metrics
EVM 2.0 integrates Cybereum's advanced algorithms to provide detailed metrics such as Earned Schedule and To-Complete Performance Index (TCPI). These metrics offer a thorough analysis of project health, highlighting both cost and schedule variances for more informed decision-making.
Granular Risk Forecasting
Utilizing Cybereum's machine learning capabilities, EVM 2.0 performs granular analysis of cost and schedule risks at the activity level. This detailed forecasting identifies specific tasks or phases that could impact the overall project, allowing for precise and effective risk mitigation strategies.
Intuitive EVM Visualization Tools
See the plan, present and future
Reduce the gap between your planed and actual performance
Forecasted Metrics
We can forecast the EV curve of the project execution timeline at planning prior to execution start
Predictive Metrics
During execution the forecasted EVM Metrics are continually adjusted by learning from project performance
Forecasting and Predicting
Forecast at Planning
EVM Curves are forecasted at the Planning stage
Predictive Analysis at Execution
Forecated metrics are updated based on an sophisticated analysis of actual project progress and future risks alonga all paths to the end milestone
AI Recommendations
Our AI Engine detects deviation between actual and planned performance now and in the futures, to suggest ways to reduce the gaps.
