PERI Modernizes Its Analytics Landscape With Microsoft Fabric and Azure Databricks
Future-Proof Data Platform as the Foundation for Faster Insights and Data-Driven Decisions
Future-Proof Data Platform at PERI
To meet growing demands for speed, scalability, and advanced analytics, PERI modernized its existing SAP BW on HANA landscape together with b.telligent. Based on Microsoft Fabric, Azure Databricks, and Power BI, a cloud-native lakehouse architecture was created that provides a unified data foundation, enables self-service analytics, and lays the groundwork for AI-driven use cases.
Quick Facts About the Project
Initial Situation & Challenge
For more than 55 years, PERI has stood for technological excellence, innovation, and close customer relationships. As one of the world’s leading manufacturers and suppliers of formwork and scaffolding systems, and a pioneer in 3D concrete printing, the company operates globally in more than 70 countries. This international growth significantly increased the requirements for data availability, transparency, and speed in analytical reporting.
The existing analytics landscape based on SAP BW on HANA increasingly struggled to meet these demands. The on-premises architecture was maintenance-intensive, only partially scalable, and made it difficult to implement modern analytics and AI scenarios. At the same time, business units required faster access to data, self-service analytics capabilities, and a future-proof platform to support data-driven innovation.
PERI therefore decided to fundamentally modernize its analytics architecture with the goal of creating a unified data foundation, significantly reducing time to insight, and paving the way for advanced analytics and AI.
Solution
Together with b.telligent, PERI developed a modern, cloud-based analytics architecture built on Microsoft Fabric and Azure Databricks. At the core of the initiative was the migration of the existing SAP BW on HANA system to a scalable lakehouse architecture.
b.telligent designed a lakehouse-first architecture that combines powerful data engineering with user-friendly analytics:
- Central Data Foundation With OneLake
All relevant enterprise data is centrally stored in Microsoft Fabric OneLake using open formats. This creates a unified data foundation that can be used by different analytics and engineering workloads without redundant data copies. - Medallion Architecture for Structured Data Processing
Data processing follows the proven Medallion principle (Bronze, Silver, Gold). Azure Databricks handles scalable data integration and transformation, while curated Gold data models are provided for analytical use cases. - Self-Service Analytics With Power BI
Thanks to the tight integration of Power BI into Microsoft Fabric, business units can directly access curated data. Using Direct Lake, users benefit from high performance and near real-time analytics while maintaining clear governance. - Professional Implementation and Operations
To ensure a sustainable and reproducible solution, b.telligent implemented modern engineering standards such as CI/CD with Azure DevOps and Infrastructure as Code using Terraform.
b.telligent supported PERI end to end — from architecture and migration strategy through technical implementation to the enablement of internal teams.
Voices From the Project
Together with b.telligent, we successfully implemented Microsoft Fabric and Azure Databricks, enabling unified data engineering and reporting through Power BI. The platform also opened new opportunities for data science and real-time intelligence, driving faster insights and smarter decision-making.
Mathias Prähofer
Mathias Prähofer, Head of Data Partners at PERI SE
Together with PERI, we overcame the limitations of SAP BW on HANA and implemented a scalable lakehouse architecture with Microsoft Fabric and Azure Databricks. Power BI with Direct Lake delivers fast insights. With CI/CD and Infrastructure as Code based on b.telligent standards, the solution is sustainable — and the collaboration was truly collaborative and focused.
Matthias Nohl
Management Consultant at b.telligent
b.telligent Services at a Glance
Analytics Modernization
Strategic replacement of SAP BW on HANA with a cloud-native analytics architecture based on Microsoft Fabric and Azure Databricks.
Lakehouse Architecture
Implementation of a scalable, unified data platform using OneLake and a Medallion design (Bronze, Silver, Gold).
Data Integration & Transformation
High-performance, structured processing of large data volumes with Azure Databricks as the foundation for analytical use cases.
Self-Service Analytics
Delivery of high-performance Power BI reports using Direct Lake for near real-time analytics with clear governance.
Platform Engineering
Introduction of modern development and operations standards such as CI/CD and Infrastructure as Code for a sustainable, reproducible solution.
Enablement
Knowledge transfer and enablement of internal teams to independently use and further develop the analytics platform.
Results & Successes
Highlights
Faster Decision-Making Through Reduced Time to Insight
Analyses and reports are available significantly faster and support agile, data-driven decision-making.
Future-Proof, Scalable Analytics Platform
The cloud-native lakehouse architecture scales flexibly with business requirements and forms the basis for advanced analytics and AI.
Greater Independence for Business Units
High-performance self-service analytics with Power BI enable easy, governance-compliant access to relevant data.
With the new analytics platform, PERI has established the foundation for modern, data-driven corporate management. Migrating from SAP BW on HANA to a cloud-native architecture enables faster, more flexible, and more efficient use of data. PERI is now ideally positioned to make data-driven decisions more quickly and to drive innovation sustainably.
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The Tech Behind the Success
Microsoft
Innovation and integration, as well as interoperability, are key factors of the Microsoft product development. Learn more about our collaboration!
Databricks
Databricks gives data teams the ability to process large amounts of data in the cloud and apply it to cutting-edge AI technologies. Learn more!
Management Summary for Download
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