Normalized claim
Time-to-insight for new reporting use cases: 3 days to 1 day decrease
from previously three to four days to just one single day
MicrosoftEvidence: Medium50/100
PERI accelerates time-to-insight and enables AI-ready analytics with Microsoft Fabric and Azure Databricks
Use case typeData platform modernizationUpdated Jun 23, 2026
PERI SE modernized its analytics landscape from SAP BW on HANA to a Lakehouse-first architecture built on Microsoft Fabric and Azure Databricks. The new platform uses OneLake as a unified data foundation, Medallion (Bronze/Silver/Gold) processing, and Power BI Direct Lake for self-service analytics with governance. The implementation also introduced CI/CD with Azure DevOps and Infrastructure as Code with Terraform through partner b.telligent.
- Organization
- PERI SE
- Industry
- Manufacturing
- Location
- Germany
- Published
- June 2026
Reported outcomes
Time-to-insight for new reporting use cases: 3 days to 1 day
Time & speed
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Data pipeline stages: 60% decrease
Previously, data pipelines often consisted of more than five sequential steps. With the new architecture, PERI streamlined these processes to just one or two stages
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- PERI SE
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- Microsoft Customer Stories
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 2 of 2
- 1Data platform modernization
- 2Real-time analytics
- Migrate analytics from SAP BW on HANA to a Lakehouse-first architecture on Microsoft Fabric and Azure Databricks.
- Use OneLake as a standardized enterprise data foundation with Medallion-based processing for structured data preparation.
- Enable self-service reporting through Power BI with Direct Lake while maintaining governance.
- Implement CI/CD with Azure DevOps and Infrastructure as Code with Terraform to make the platform reproducible and sustainable.
- PERI reduced time-to-insight for new reporting use cases from about 3-4 days to about 1 day.
- The new architecture streamlined data pipelines from more than five steps to one or two stages.
- The platform enabled advanced AI and machine learning scenarios for real-time decision-making.
Architecture
The solution is a Lakehouse-first architecture on Microsoft Fabric and Azure Databricks. OneLake provides a single data foundation, data is processed through a Bronze/Silver/Gold Medallion pattern, Power BI Direct Lake serves curated data for self-service analytics, and Azure DevOps plus Terraform support CI/CD and infrastructure as code.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jun 23, 2026Publisher: MicrosoftEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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