PMO Performance Dashboard

Genera PR

Problem:

Executive leadership lacked timely visibility into critical portfolio metrics across distributed projects and power plant operations, forcing reliance on manual monthly reporting cycles and fragmented data sources.

This operational blindness delayed decision-making, compromised budget forecasting accuracy, and prevented dynamic resource reallocation in response to project changes or emerging risks.

Solution:

Designed and deployed an integrated Power BI analytics suite serving as a centralized intelligence layer for the Project Management Office (PMO).
Built interconnected dashboards that aggregated data from multiple enterprise systems into a unified semantic model, enabling real-time tracking of budget performance, project lifecycle phases, risk assessments, and operational site activity.
Implemented dynamic visualizations including actuals vs. forecast comparisons, variance analysis, and workload distribution models that automatically updated as project data changed.

Results:

Reduced executive reporting cycle from monthly manual compilation to real-time dashboard updates, enabling faster decision-making.
Improved budget forecasting accuracy through automated actuals-to-forecast comparison visualization, reducing forecast error variance.
Identified resource utilization patterns across project managers, enabling 15-20% optimization in resource allocation and highlighting capacity constraints before bottlenecks emerged.
Established PMO as a data-driven decision hub, increasing stakeholder confidence in project health assessments.

Technical Highlights:

Developed ETL pipelines to consolidate data from disparate project and operational systems into a Power BI data warehouse.
Designed interactive dashboards with drill-down capabilities, enabling executives to move from portfolio-level KPIs to project-specific details.
Created Power BI measures and calculated columns for complex metrics including budget variance, schedule performance indices, and risk scoring.
Built forecasting models that integrated historical actuals with project trajectory data for accurate budget projections.
Implemented row-level security (RLS) to ensure stakeholders viewed only relevant project and site data.

PMO Performance Dashboard

Genera PR

Problem:

Solution:

Results:

Technical Highlights:

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