Logistics
National Logistics Operator

Enterprise Data Engineering for Supply Chain Visibility

Established a trusted operational view and reduced manual reporting effort across business functions.

enterprise 10 months ROI / KPI: 55%
Enterprise Data Engineering for Supply Chain Visibility

Executive Summary

A national operator needed timely, trusted data across TMS, WMS, finance, and customer-service systems.

Business Challenge

Point-to-point reporting produced inconsistent definitions, stale information, and costly manual reconciliation.

Solution

UTPL built governed ingestion pipelines, canonical models, quality controls, and role-based Power BI reporting.

Implementation Journey

Source assessment, data contracts, platform build, pipeline delivery, quality automation, semantic modeling, and adoption.

Business Outcomes

Established a trusted operational view and reduced manual reporting effort across business functions.

Lessons Learned

Data products need business owners and service-level expectations, not only technical pipelines.
“We now make operating decisions from a shared and trusted view of the network.”

KPIs & business outcomes

55%
Reporting effort
17
Data sources
99.8%
Pipeline SLA

Technology Stack

Services Delivered

Cloud Solutions
Data Engineering

Industries

Timeline & engagement

  • Timeline: 10 months
  • Team: 16 specialists
  • Engagement: Data platform program
  • Region: United States

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Enterprise trust

Proof points buyers expect

Awards, certifications, hybrid delivery

0

Years serving enterprises

0

Projects delivered

0

Enterprise clients

0

Countries in delivery network

Global Delivery Model Industry Programs Engagement Models Enterprise Standards ISO 9001 ISO 27001 SOC 2 Type II Microsoft Solutions Partner SOC 2-aligned practices GDPR-aware delivery HIPAA-aware engagements ISO-style quality controls

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