Case Study: Report Migration from QlikView to Power BI and Microsoft Fabric

How one of the world’s largest furniture manufacturers accelerated the migration of 80+ legacy reports by moving from QlikView to Power BI and Microsoft Fabric, meeting a strict license expiration deadline and unlocking a modern, scalable analytics ecosystem. 

Client Profile:

A global leader in furniture manufacturing with 87 QlikView reports, eight of them highly complex and business‑critical, faced expiring licenses and a high‑stakes shift to Microsoft Fabric. The company partnered with Lingaro as its primary data and AI vendor to design, execute, and govern its first‑ever migration from QlikView to a modern cloud analytics platform.

Challenge:

The organization needed to retire legacy QlikView tooling under a non‑negotiable deadline while ensuring business continuity. Migrating 87 reports in a multi‑vendor environment required tight coordination, aligned standards, and careful translation of legacy logic into a unified Microsoft Fabric architecture. The client needed both speed and accuracy, without compromising data trust or operational reliability.

Solution:

Lingaro delivered a structured migration program that combined flexible delivery models with strong governance.

• Built a unified data foundation on Microsoft Fabric and standardized dataflows and notebooks.

• Used a hybrid delivery model, staff augmentation for global reports plus full end‑to‑end execution for priority scopes, to accelerate progress.

• Closed gaps between legacy QlikView logic and Fabric architecture while coordinating across vendors.

• Provided centralized program management, hands‑on training, and developer workshops to boost adoption of the new platform.

Impact:

The program delivered:

• 87 reports migrated to production on time

• Faster time‑to‑insight through unified and reusable data models

• Lower operational cost by retiring legacy tooling

• Higher scalability by moving to a single cloud‑native analytics platform
  

The organization now operates a modern analytics ecosystem built for speed, scale, and future growth.