Peaker Units Dashboard

Genera PR

Problem:

Executive leadership operated with fragmented progress visibility, dependent on manual monthly reporting cycles and siloed data systems that prevented timely decision-making.

The absence of unified analytics across projects and operational sites created blind spots in budget tracking, risk assessment, and resource utilization, forcing reactive rather than proactive portfolio management and limiting the PMO's ability to optimize resource allocation at the enterprise level.

Solution:

Designed and implemented a comprehensive Power BI analytics ecosystem that served as the authoritative data platform for portfolio management and executive oversight.
Built an interconnected dashboard suite that unified disparate PMO data sources into a centralized semantic model, enabling real-time tracking of budget performance, project lifecycle status, risk posture, and resource workload distribution.
Developed interactive visualizations that supported multi-dimensional analysis—allowing executives to pivot between portfolio-level KPIs and drill down into project-specific metrics, plant operations, and resource capacity views.

Results:

Transformed portfolio reporting from static monthly compilations to real-time executive dashboards, enabling data-driven decision-making on resource prioritization and risk mitigation.
Improved budget forecasting accuracy through automated actuals-to-forecast analysis and trend modeling, reducing forecast variance and enabling more reliable financial planning.
Identified resource optimization opportunities across projects and sites, streamlining allocation efficiency and preventing capacity bottlenecks.
Established the PMO as a strategic analytics hub, increasing executive confidence in project health assessments and enabling faster response to emerging risks or opportunities.

Techincal Highlights:

Consolidated multiple data sources into a unified Power BI data warehouse with automated refresh pipelines.
Designed star schema data models optimizing query performance for large-scale portfolio analytics.
Created dynamic dashboard experiences with interactive filters and drill-through capabilities enabling executive stakeholders to customize views by project, site, business unit, or timeline.
Built calculated measures for complex metrics including budget variance analysis, schedule performance indices (SPI), resource utilization rates, and capacity forecasting.
Implemented role-based access controls (RLS) ensuring stakeholders viewed appropriate portfolio segments.

Peaker Units Dashboard

Genera PR

Problem:

Solution:

Results:

Techincal Highlights:

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