Resource Management & Billing Analytics Platform

Transforming manual Excel processes into automated Power BI analytics. Real-time visibility for capacity planning, resource utilization, and internal cost allocation.

Project at a Glance

100
Resources Tracked
50
Active Projects
5
Departments
96%
Efficiency Gain

The Business Challenge

Critical resource data trapped in manual Excel processes

IT organization required comprehensive visibility into resource utilization, capacity planning, and internal cost allocation across 100 IT professionals supporting 50 active projects across 5 departments.

The manual process involved downloading Excel exports from multiple systems, performing complex VLOOKUPs and pivot tables, reconciling data across systems, and compiling reports. Error-prone, time-consuming, and limited to monthly snapshots.

Manual Reporting Burden

Resource managers spent 2 full days each month manually processing capacity and billing reports

Fragmented Data Sources

Capacity planning in Planview, actual time booking in separate e-time system, different identifiers and codes

Limited Visibility

Monthly reporting cycle meant decisions based on outdated information. Management lacked real-time resource view.

The Solution

Integrated Power BI analytics platform eliminating manual processes

Multi-Source Data Integration

Automated integration of Planview capacity planning with e-time actual bookings using Power Query

Cross-System Reconciliation

Lookup tables mapping different user identifiers and project codes between systems

Comprehensive Dashboard Suite

Multiple analytical views: booking balance, utilization, reconciliation, overtime tracking, billing

Daily Refresh

Automated data refresh providing current information without real-time complexity

Self-Service Analytics

Resource managers and department leadership empowered with direct data access

Transparent Cost Allocation

Automated internal chargeback calculations by department with full traceability

Technical Architecture

Power Query transformation pipeline

Data Integration Flow:

  1. 1. Source Systems: Planview (Snowflake/Excel) + E-time booking system
  2. 2. Power Query Extraction: Automated data extraction from both sources
  3. 3. Lookup Tables: Excel-based mapping tables for user/project reconciliation
  4. 4. Transformation Logic: Data cleansing, standardization, cross-system reconciliation
  5. 5. Power BI Data Model: Star schema with fact tables and dimensions
  6. 6. Dashboard Layer: Multiple purpose-built dashboards for different stakeholders

Key Design Decisions:

  • Import Mode: Better performance and offline access vs Direct Query
  • Daily Refresh: Balanced timeliness with system performance
  • Excel Lookup Tables: Pragmatic solution for business-managed mappings
  • Multiple Dashboards: Purpose-built views better than single complex dashboard

Dashboard Suite

Multiple analytical views serving different stakeholder needs

Booking Balance

Weekly and monthly views of planned vs actual hours with variance analysis

Billable Utilization

Billable vs non-billable time allocation by resource and team with utilization rates

Planview vs E-time Reconciliation

Side-by-side comparison identifying discrepancies and booking accuracy metrics

Weekend & Overtime Tracking

Compliance monitoring for labor regulations, cost control, work-life balance indicators

Billing Dashboard

Internal chargeback calculations by department with transparent cost allocation

Capacity Planning

Resource availability forecasting with project demand analysis

Results & Business Impact

From manual Excel processes to automated analytics

Before: Two full days monthly spent downloading exports, performing VLOOKUPs, creating pivot tables, reconciling discrepancies, compiling reports. Decisions based on month-old information.

After: 30 minutes monthly to review automated dashboards. Daily insights into resource utilization, capacity, and billing. Self-service analytics for department heads and resource managers.

Quantifiable Improvements:

  • • 96% reduction in manual reporting effort (2 days → 30 minutes)
  • • Real-time visibility for 100 resources across 50 projects
  • • Automated data quality validation vs error-prone manual checks
  • • Proactive capacity management vs reactive problem-solving
  • • Transparent cost allocation reducing billing disputes

96% Time Reduction

Monthly reporting reduced from 2 days to 30 minutes. Resource managers freed for strategic capacity planning.

Daily Operational Insights

Monthly retrospective transformed to daily real-time dashboards. Faster response to capacity constraints.

Financial Transparency

Automated chargeback calculations with consistent, auditable billing. Reduced disputes through transparent reconciliation.

Technologies Used

Power BI

Business intelligence platform

Power Query

Data transformation

DAX

Business logic calculations

Planview

Capacity planning source

Snowflake

Data platform

Excel

Lookup tables & initial exports

Key Takeaways

Lessons from eliminating manual reporting processes

Technical Lessons:

  • Integration complexity: Cross-system reconciliation requires thoughtful mapping strategies.
  • Pragmatic solutions: Excel lookup tables provided practical solution for business-managed mappings.
  • Import mode benefits: Performance and offline access outweighed real-time requirements.
  • Multiple focused dashboards: Better than single complex view trying to serve everyone.

Business Insights:

  • Automation value: 96% effort reduction justified investment immediately.
  • Visibility drives behavior: Transparent metrics improved booking accuracy.
  • Self-service analytics: Democratizing data access reduces report requests.
  • Daily insights enable proactive management: Monthly reporting too slow for operational decisions.

Project Timeline

Month 1: Discovery

Requirements gathering, manual process analysis, data source assessment, dashboard mockups

Month 2: Data Integration

Power Query development, cross-system reconciliation logic, data quality rules

Month 3: Dashboard Development

Iterative dashboard creation with user feedback, DAX measures, report optimization

Month 4: Production

User training, production deployment, transition from manual processes

Multi-Purpose Platform Benefits

Beyond efficiency: compliance and well-being

Weekend and overtime tracking served multiple organizational objectives simultaneously:

  • Labor law compliance: Automated tracking for regulatory requirements
  • Cost control: Visibility into unexpected overtime expenses
  • Work-life balance: Early warning system for overutilization
  • Resource planning: Identification of chronic capacity issues

Single platform addressing regulatory, financial, HR, and operational objectives demonstrated comprehensive value beyond pure efficiency gains.

Need to Eliminate Manual Reporting Processes?

We build Power BI solutions that transform Excel processes into automated analytics. Schedule a consultation to discuss your reporting challenges.