Schedule Health Analytics
Schedule data and trend history exported to BI-accessible formats from the full snapshot archive — supports DCMA 14-Point, IPMDAR SPD, PASEG/BEI, and any custom analysis without file handoffs.
Schedule health analytics answers a question that is easy to ask and surprisingly difficult to answer well: how healthy is this schedule? Standard analytical frameworks like the DCMA 14-Point Assessment and IPMDAR Schedule Performance Data provide structured answers to that question, but those frameworks require access to schedule data in a form that supports systematic measurement — not just a Gantt chart or a PDF report.
BI-Accessible Export
ProjectXL exports schedule data to BI-accessible formats that support direct analytical access without an intermediate transformation step. The export includes current plan data — activity dates, durations, relationships, float values, baseline comparisons — as well as trend history derived from the full snapshot archive. Trend measures that require historical data, such as the PASEG Baseline Execution Index, can be calculated across the actual history of the plan rather than requiring a separate data collection effort.
Standard Framework Coverage
The companion Power BI Desktop report and semantic model cover the analytical frameworks that schedule health practitioners rely on most: DCMA 14-Point checks, IPMDAR SPD validation metrics, PASEG measures including BEI, and a set of additional schedule quality indicators. These are pre-mapped to the exported data structure so teams can run a complete health review without building the analytical model themselves. The semantic model is also extensible — organizations that use custom measures or supplemental frameworks can add them to the same model without starting over.