Global Logistics & Analytics Provider
Scaled an analytics-as-a-service platform from legacy BI to 300+ enterprise clients on modern cloud analytics
$1.3M
Annual Savings
300+
Clients Migrated
85%
Faster Onboarding
Overview
One of the world's largest logistics companies needed to transform its analytics-as-a-service platform serving 300+ Fortune 500 end-customers. The existing platform couldn't scale — client onboarding took weeks, enhancement deployments were manual, and data sharing was limited to a few refreshes per day. Evil Genius migrated the entire estate to modern cloud analytics, architected a multi-tenant platform supporting 11+ production modules, and built the automation pipelines to operate it at scale.
The Situation
The client provides analytics-as-a-service to Fortune 500 end-customers across logistics performance, visibility, billing, sustainability, and operational risk management. The existing platform was built on legacy BI technology that had hit its ceiling. Client onboarding required 2 weeks of manual work per client. Deploying enhancements to existing modules meant touching each individual client application manually. Data sharing was limited to 3–4 refreshes per day — nowhere near the near real-time operational needs. The overall development cycle ran 6–7 weeks. With 300+ external enterprise clients and growing demand, every manual process was a bottleneck.
Our Approach
- 1
Migrated 300+ clients from legacy BI to modern cloud analytics using a sprint-based approach — up to 10 migration batches on a bi-weekly release cadence with rigorous data validation at every stage.
- 2
Architected a multi-tenant platform supporting 11+ production analytics modules across logistics performance, visibility, billing, sustainability, GPS delivery tracking, and operational risk management — one of the largest cloud analytics deployments anywhere, spanning 400+ GB across multiple tenants.
- 3
Built automation pipelines for scalable client onboarding and deployment, replacing manual processes that had consumed the equivalent of 10 FTEs.
- 4
Evolved security from user-based to role-based access across all tenants, reducing liability risk and simplifying administration at scale.
- 5
Delivered near real-time data refresh capabilities — including 5-minute partial refreshes for risk monitoring — replacing the legacy batch-scheduled model.
Results
- $1.3M annual cost savings by decommissioning the legacy BI platform — licenses, infrastructure, and services eliminated
- Client onboarding reduced from 2 weeks to 2 days — an 85% reduction
- Enhancement deployment reduced from weeks to 2 days per client
- Development cycle compressed from 6–7 weeks to 2 weeks
- Data sharing frequency increased from 3–4 times per day to 48 times per day — a 12x improvement
- ~10 FTE equivalent in operational gains through automation
- Near real-time data refreshes every 5 minutes for risk monitoring
- ~100% session growth and ~71% consumer growth over the most recent year
- 11+ production modules serving logistics intelligence, risk management, sustainability, and GPS tracking
What This Made Possible
The platform became the master system of record for analytics, completely replacing the legacy BI environment. New enterprise clients — including major banks and telecommunications providers — were onboarded during the engagement. The organization now delivers analytics-as-a-service at a scale and speed that wasn't possible before — and the platform continues to expand into new operational domains. What started as a migration became a transformation of how the business delivers intelligence to its most important customers.
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