Case Studies & Client Wins
See exactly what we built, what problem it solved, and the measurable business impact it delivered.
RetailMax USA
How RetailMax Cut Reporting Time by 80% With a Unified Sales Dashboard
Challenge
The team spent 3 days a month manually pulling data from Shopify, QuickBooks, and Excel into PowerPoint decks.
Solution
We built a single Power BI dashboard pulling all three sources. Auto-refresh every hour. One-click PDF export for board meetings.
FinServ Europe GmbH
Automated P&L Reporting for a 40-Entity Finance Group
Challenge
Consolidating financials across 40 subsidiaries took a team of 4 two weeks every quarter using Excel.
Solution
We designed a centralised data model in Azure SQL and built a Power BI consolidation report with currency conversion and intercompany eliminations.
GrowthLead Agency
Unifying 9 Paid Channels Into One Marketing ROI Dashboard
Challenge
Account managers logged into Google Ads, Meta, LinkedIn, TikTok, and 5 other platforms daily. No single view of blended CAC or ROAS.
Solution
We built an automated data pipeline via Supermetrics + Power BI that consolidates all channels into a live marketing ROI report with budget pacing.
MedDevice Co.
Real-Time Operations Dashboard for a Medical Device Manufacturer
Challenge
Production line managers had no visibility into defect rates, downtime, or yield until the weekly Monday morning report.
Solution
We connected Power BI directly to the SCADA historian and ERP. Built real-time KPI tiles with automated SMS alerts when defect rates exceeded thresholds.
EduTech Platform
Building a Product Analytics Suite for a 50K-User SaaS Platform
Challenge
The product and growth teams were blind — no visibility into activation funnels, feature adoption, or churn leading indicators.
Solution
We built a 6-report analytics suite from Mixpanel + Stripe + Intercom data, including cohort retention curves and MRR waterfall charts.
LogiFlow Freight
Cutting Delivery SLA Breaches by 41% With Predictive Logistics Reporting
Challenge
Operations managers only discovered SLA breaches after they happened. No early warning system, no carrier performance benchmarking.
Solution
We built a predictive logistics dashboard that flags at-risk shipments 48 hours before SLA breach using historical delay patterns and live tracking data.
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