Engineering / BI & Analytics

Project Management BI Dashboard Enhancement for Engineering Operations

Business intelligence platforms are only as useful as the data feeding them and the questions they are designed to answer. An engineering and project-based organization had invested in Power BI but was not getting what they needed from it. Data connections were incomplete, dashboard structure did not reflect how the business operated, and the reports that existed were not trusted enough to drive decisions. The platform was in place. The problem was what had been built on it. They called BabyBots.

Strategic Impact

Rebuilding BI Infrastructure for Operational Clarity

Requirements Gathering and Data Assessment

The rebuild started with what the dashboards needed to answer, not what data was available. Requirements from engineering leadership and project managers established the specific decisions the reporting needed to support before any data connections were assessed or layouts redesigned.

Enhanced Dashboard Development

The dashboard suite was rebuilt around operational decisions, not available data fields. Corrected data connections, restructured layouts, and new tabs were designed around what the team needed to see, replacing the report structure that had been built around what was easiest to surface.

Validation and Documentation

The team signed off on metric accuracy before anything went live. All dashboard outputs were validated against source data, confirmed correct with the project management team, and documented covering data sources, calculation logic, and refresh schedules.

Actionable Metrics Design

Every element on every page has a defined audience and decision context. Metrics and visualizations were designed around the specific choices engineering leadership and project managers actually needed to make, rather than generic KPI coverage.

Self-Service Reporting Capability

The team can build and modify reports without returning to an external resource. Dashboards were configured for self-service use, with training and documentation enabling the team to extend the reporting layer independently as the portfolio grew.

BabyBots Impact Assessment

Portfolio Visibility That Drives Decisions

Enhanced Power BI dashboards gave engineering leadership and project managers real-time portfolio visibility, replacing fragmented reporting with a single, reliable source that reflected how the business actually ran. The dashboards became tools the team used to make decisions, not outputs they questioned before acting on.

Dashboard navigation and metric interpretation for project managers and leadership
Training on data refresh procedures and connection management
Guidance on adding new projects and metrics as the portfolio evolves
Documentation review for independent long-term management

Enhanced Power BI dashboard tabs covering project status, resource utilization, margin, and milestones
Data source connections and transformation logic documentation
Stakeholder-specific views with self-service filtering and drill-down capability
Technical documentation covering maintenance and data refresh procedures

Project Journey

Project Timeline

Phase 1

PM Dashboard — Phase 1: Requirements Gathering & Data Source Assessment

Gathered requirements from stakeholders across project management, finance, and operations. Assessed existing Power BI data sources, connection methods, and reporting gaps to establish a clear brief before any dashboard development began.

Phase 2

PM Dashboard — Phase 2: Dashboard Design & Development

Designed and built new and enhanced Power BI dashboard tabs covering project status, resource utilization, margin tracking, and milestone performance. Structured each tab to serve specific stakeholder groups with self-service filtering and drill-down capability.

Phase 3

PM Dashboard — Phase 3: Validation, Stakeholder Review & Refinement

Validated dashboard accuracy against source data, conducted stakeholder review sessions, and incorporated feedback through iterative refinement. Ensured every metric was aligned to how project managers and leadership actually evaluate performance.

Phase 4

PM Dashboard — Phase 4: Documentation Delivery & Knowledge Transfer

Delivered technical documentation covering data source connections, transformation logic, maintenance procedures, and data refresh workflows. Conducted knowledge transfer sessions with project managers and leadership on dashboard navigation and self-service capability.

Engineering / BI & Analytics

A dashboard nobody trusts is not a tool. It is a risk waiting to be acted on.

The team can build and modify reports without returning to an external resource. Dashboards were configured for self-service use, with training and documentation enabling the team to extend the reporting layer independently as the portfolio grew.