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Client Project Professional Services

Power BI Executive Dashboard

Real-Time Business Intelligence for a Growing Firm

Seven disconnected data sources unified into a single real-time executive dashboard. — Anonymized client, Professional Services, Bern region

Client details anonymized at their request. Metrics are estimates based on project data and may not reflect exact outcomes.

~15h Estimated weekly time saved
~CHF 36K Estimated annual savings
~2.8mo Estimated payback period
7 Data sources unified

Executive Summary

Industry: Professional Services (Legal/Consulting)
Location: Canton of Bern, Switzerland
Company Size: 45 professionals, CHF 12M revenue
Leadership: 4 Partners, 1 Operations Manager
Data Sources: 7 systems (ERP, CRM, HR, Time Tracking, etc.)
Implementation: Power BI Premium + Claude AI for insights

Estimated Results

Metric Before After Improvement
Report Preparation 15 hours/week 2 hours/week -87%
Data Freshness 2-4 weeks old Real-time Instant
KPI Visibility 12 metrics (manual) 48 metrics (automated) +300%
Client Reporting 3 hours/client 15 min/client -92%
Partner Meeting Prep Full day 30 minutes -94%
Annual Cost Savings CHF 36,000

The Challenge

A mid-sized professional services firm with 15 years of history was drowning in spreadsheets:

Data Silos Everywhere

Financial data in Abacus, time tracking in Toggl, CRM in HubSpot, HR in BambooHR, projects in Monday.com, billing in custom Access database, client feedback in Google Forms. No single source of truth.

7 different systems, 7 different logins, 7 different exports

Excel Report Factory

The Operations Manager spent every Friday creating reports: exporting from each system, cleaning data, building pivot tables, creating charts, and emailing PDFs. By the time partners received reports, the data was already stale.

15 hours/week on manual reporting

Client Reporting Burden

For each major client, the team created custom monthly reports showing project status, billable hours, budget utilization, and deliverables. Each report took 3 hours to compile from multiple systems.

3 hours per client × 12 key clients = 36 hours/month

Flying Blind

Partners made decisions based on gut feeling because data was too hard to access. Utilization rates, pipeline health, and profitability by service line were mysteries until quarterly reviews.

Decisions delayed by weeks due to data gaps

The Wake-Up Call

The firm lost a major client because they couldn't provide real-time project visibility. The client's feedback: "We never knew where we stood until invoices arrived." The partners decided data visibility was now a competitive necessity, not a luxury.

The Solution

We implemented a comprehensive Power BI solution over 6 weeks, using the eflury Method™.

1

Data Integration Layer

Built automated connections to all 7 data sources:

  • Abacus ERP: Direct SQL connection for financials
  • Toggl: API integration for time tracking
  • HubSpot CRM: REST API for pipeline and clients
  • BambooHR: HR data via API (headcount, capacity)
  • Monday.com: Project status and milestones
  • Access DB: Legacy billing data migration
  • Google Forms: Client satisfaction surveys
All 7 sources connected, refreshing every 15 minutes
2

Executive Dashboard

Created a comprehensive partner-level dashboard with:

  • Financial Overview: Revenue, margins, cash flow, AR aging
  • Utilization Metrics: Billable vs. non-billable by team member
  • Pipeline Health: Weighted pipeline, conversion rates, velocity
  • Client Profitability: Revenue and margin by client with trends
  • Team Performance: Utilization, realization, efficiency rates
48 KPIs tracked automatically (vs. 12 manually before)
3

Client Portal Reports

Automated client-facing reports:

  • Self-service portal for key clients to view their project status
  • Automated monthly PDF generation with executive summary
  • Claude AI generates narrative insights for each report
  • Alerts when budget utilization exceeds thresholds
Client reporting reduced from 3 hours to 15 minutes
4

AI-Powered Insights

Added Claude-powered analysis layer:

  • Weekly email digest with AI-generated commentary on trends
  • Anomaly detection for unusual patterns (sudden drops, spikes)
  • Natural language Q&A: "Why did Q3 margins drop?"
  • Predictive alerts for at-risk projects based on patterns
Partners now receive proactive insights, not just data

Dashboard Highlights

Key visualizations that transformed decision-making:

Revenue Waterfall

Monthly revenue breakdown by service line with variance analysis against budget and prior year.

Utilization Heatmap

Team member utilization by week with color coding: green (optimal), yellow (low), red (overloaded).

Pipeline Funnel

Sales pipeline stages with conversion rates, average deal size, and velocity metrics.

Client Profitability Matrix

Revenue vs. margin by client, sized by total value, identifying high-value and problem accounts.

Project Health Scorecard

Active projects with budget burn, timeline status, and risk indicators at a glance.

Cash Flow Forecast

12-week forward view of expected cash inflows and outflows based on AR aging and committed costs.

Detailed Results

Time Savings

15 hours/week

Operations Manager now focuses on analysis and process improvement instead of report generation.

Financial Impact

CHF 36K annual savings

Reduced time costs plus avoided hiring a dedicated reporting analyst.

Client Satisfaction

+28% NPS increase

Clients love the transparency. Self-service portal became a competitive differentiator.

Decision Speed

Real-time data access

Partners check dashboard daily instead of waiting for monthly reports.

Return on Investment

Implementation Cost CHF 8,400
Annual Savings CHF 36,000
Payback Period 2.8 months
Year 1 ROI 329%

Technical Implementation

BI Platform: Microsoft Power BI Premium (per-user licensing)
Data Warehouse: Azure SQL Database for centralized data
ETL Pipeline: Power Query + Azure Data Factory for complex transforms
AI Layer: Claude Sonnet 4 for narrative generation and anomaly detection
Refresh Rate: 15-minute incremental refresh during business hours
Hosting: Azure Switzerland West (data residency compliant)

Data Governance

Row-level security ensures partners only see data relevant to their practice areas. Client data is accessible only to assigned team members. All access is logged for compliance. The solution meets Swiss data protection requirements (FADP) and GDPR standards.

Lessons Learned

What Worked

  • Start with partner buy-in: Executive sponsorship ensured adoption
  • Mobile-first design: Partners check dashboards on phones constantly
  • Iterative rollout: Started with 2 dashboards, expanded based on feedback
  • Training investment: 2-hour workshop made partners self-sufficient

Challenges Overcome

  • Legacy Access DB: Required custom migration scripts
  • Data quality issues: Inconsistent naming conventions across systems
  • Resistance to change: Some team members preferred "their" spreadsheets
  • API rate limits: Had to implement smart caching for HubSpot data

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