HR Onboarding BI Dashboard for a Staffing and Resourcing Company

37382.jpg
Analytics and BI
Case StudiesHR Onboarding BI Dashboard for a Staffing and Resourcing Company

Customer OverviewA staffing organization transforming raw onboarding data into embedded, role-based analytics

A staffing and resourcing organization operating across the United States, Canada and Puerto Rico that manages high-volume candidate onboarding workflows. Bridgera delivered an embedded business intelligence (BI) platform that transformed raw onboarding data stored in Amazon Aurora into secure, role-based dashboards integrated directly into the company’s onboarding portal — enabling structured performance tracking and operational visibility.

The ChallengeFragmented onboarding data, limited performance insight, and the absence of embedded analytics

Fragmented Onboarding Data

Candidate lifecycle data from offer to joining stages resided in an Amazon Aurora database without structured analytical visibility. Raw data existed but could not be transformed into meaningful performance indicators without a purpose-built analytics layer to organize and surface it.

Limited Performance Insight

Leadership lacked centralized key performance indicator (KPI) tracking for onboarding efficiency, candidate progression and sourcing. Without structured visibility into these metrics, it was difficult to identify bottlenecks, evaluate specialist performance, or make data-informed decisions about onboarding operations.

Security and Access Constraints

The solution required group-based access controls and row-level security to ensure proper segmentation across user roles. Exposing onboarding data without structured access controls would create privacy risks and limit the organization's ability to manage information appropriately across different teams and regions.

Portal Integration Requirement

Dashboards needed to be embedded directly within the onboarding portal rather than accessed as standalone reports. Requiring users to navigate to a separate analytics platform would have created adoption friction and reduced the practical value of the BI investment.

Trend and Drill-Down Needs

The organization required longitudinal analysis and the ability to drill into candidate-level detail across multiple dimensions. Point-in-time snapshots were insufficient — leadership needed to track trends over time and explore data by date, location, region, gender and onboarding status to understand performance patterns.

Client RequirementsNeed for a Secure, Embedded BI Platform Delivering Role-Based Onboarding Visibility

Structured KPI Data Modeling

Analytical views linking onboarding data tables within Amazon Aurora were needed to enable KPI calculation, trend analysis, and performance tracking across all stages of the candidate lifecycle from offer through to joining.

Interactive BI Dashboard Development

Interactive dashboards built in Amazon QuickSight were required to track candidate diversity, onboarding stages, specialist efficiency, and other key metrics — giving leadership and operations teams a clear, consistent view of onboarding performance.

Multi-Dimensional Drill-Down Capability

The ability to drill into candidate-level detail by date, location, region, gender, and onboarding status was needed to support longitudinal trend analysis and enable leaders to identify performance patterns across the organization’s multi-region footprint.

Embedded Portal Integration

BI dashboards needed to be embedded directly within the onboarding portal to ensure seamless adoption, eliminating the need for users to navigate to separate reporting tools and making analytics a natural part of the existing onboarding workflow.

Automated Data Refresh

Scheduled automated data refresh cycles were required to maintain dashboard accuracy and operational continuity, ensuring that leadership and operations teams always had access to current onboarding performance data without manual intervention.

The SolutionAn embedded, role-secured BI platform delivering real-time onboarding visibility within the existing portal

Structured Data Modeling


Designed analytical views linking onboarding data tables within Amazon Aurora to enable KPI calculation and trend analysis, transforming raw candidate lifecycle data into a structured, queryable layer capable of supporting consistent, reliable performance reporting.

BI Dashboard Development
Built interactive dashboards in Amazon QuickSight for tracking candidate diversity, onboarding stages, specialist efficiency and other metrics, giving leadership and operations teams a consolidated, visual view of onboarding performance across all regions.
360-Degree Candidate Visibility

Enabled drill-down analysis by date, location, region, gender and onboarding status, providing the longitudinal and multi-dimensional analytical capability needed to identify trends, surface bottlenecks, and evaluate performance at candidate level.

Role-Based Security Controls
Implemented group-based access and row-level data restrictions to ensure secure information segmentation, ensuring each user role accessed only the data relevant to their function while maintaining compliance with data governance and privacy requirements.
Embedded Dashboard Integration

Embedded BI dashboards directly into the onboarding portal to support seamless user adoption, integrating analytics into the existing workflow rather than requiring navigation to a standalone reporting environment.

Scheduled Refresh and Reporting

Configured automated data refresh cycles to maintain dashboard accuracy and operational continuity, ensuring that all onboarding KPIs and performance metrics reflected current data without requiring manual updates or interventions.

The ImpactMeasurable gains in onboarding visibility, specialist accountability, and AI-ready workforce analytics

Increased and Unified Visibility

Centralized onboarding KPI visibility across regions and business segments, giving leadership a single, consistent view of candidate progression, specialist efficiency, and sourcing performance across the United States, Canada and Puerto Rico.

Optimized via Advanced Analytics

Enabled specialist performance optimization through structured trend analytics, allowing operations leaders to identify high-performing sourcing strategies, address bottlenecks in the candidate lifecycle, and make data-informed decisions about resource allocation.

Enhanced Accountability and Security

Strengthened enterprise data governance with role-based and row-level controls, ensuring that onboarding data was accessible only to the appropriate personnel and that information handling met the organization's compliance and privacy obligations.

Delivered Scalable Data Tools

Established a governed analytics layer capable of supporting predictive workforce and attrition modeling, creating the structured data foundation needed to apply machine learning to hiring efficiency, candidate success prediction, and workforce planning.

Provided AI Readiness

Positioned the organization for AI-driven hiring efficiency and talent optimization initiatives, with the embedded BI infrastructure and governed data layer creating the conditions needed to progressively deploy intelligence-driven HR capabilities.

The embedded dashboards provided immediate clarity into our onboarding performance. The structured visibility into KPIs and specialist efficiency has strengthened our operational oversight and reporting consistency.
- Director of HR Operations

Download the Case Study 

Bridgera will use any of the data provided in accordance with the Privacy Policy.

 
ClientJF Petroleum Group
SectorPower, Infrastructure, Distribution, Construction