Project Analytics

Project Analytics involves leveraging advanced techniques and metrics to evaluate project performance, identify trends, raise early flags for potential issues and risks, and forecast future outcomes. ​

As a common practice, CPI and SPI are used to evaluate project performance and predict outcome​. These metrics often lack granularity, failing to pinpoint specific project areas causing performance issues and, neglecting potential risks that could impact project schedules and costs.​

PM-Pioneers offers advanced project analytics powered by machine learning algorithms, enabling deeper scope analysis, integration of schedule risk analysis, and granular cost forecasting at deeper levels of project scope. This approach enables raising early flags for cost and schedule overruns allowing proactive mitigation planning.​