Normalized claim
Time: 48% decrease
Reduced manufacturing downtime by 48%.
Last evidence check: Jul 22, 2026
Bühler Group enhances manufacturing efficiency with Azure Insights
Use case typeOperational analyticsUpdated Jun 13, 2026
Bühler Group leverages Microsoft Azure Data Explorer to connect industrial equipment and automation software to its Bühler Insights platform. Using Azure, Bühler transmits millions of telemetry messages for customers to analyze, resulting in significant optimizations in manufacturing processes. By using tools like the Kusto Query Language for data analytics, Bühler Insights offers tailored manufacturing insights for varying business roles.
- Organization
- Bühler Group
- Industry
- Manufacturing
- Location
- Switzerland
- Published
- May 2025
Reported outcomes
−49%
accuracyQuality & accuracy
−48%time−18%quantified impact+16%quantified impact
Strategic outcomes
Speed & agilityReduced manufacturing downtimeRisk & complianceDecreased plant errorsSustainability & ESGReduced energy consumptionScale & capacityIncreased equipment effectiveness
Catalog median for quality & accuracy deployments: −35% across 26 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Accuracy: 49% decrease
Decreased plant errors by 49%.
Last evidence check: Jul 22, 2026
Normalized claim
Quantified impact: 18% decrease
Achieved 18% reduction in energy consumption.
Last evidence check: Jul 22, 2026
Normalized claim
Quantified impact: 16% increase
Increased overall equipment effectiveness by 16%.
Last evidence check: Jul 22, 2026
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Bühler Group
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Microsoft
High occurrence of plant errors impacting operational effectiveness
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Telemetry analytics
- 2Process optimization
- 3Real-time equipment monitoring
- Frequent manufacturing downtime causing inefficiencies.
- High occurrence of plant errors impacting operational effectiveness.
- Excessive energy consumption reducing sustainability.
- Low overall equipment effectiveness in various manufacturing units.
- Implemented Bühler Insights platform powered by Microsoft Azure Data Explorer.
- Utilized Kusto Query Language for comprehensive data analysis and tailored insights.
- Integrated telemetry data from industrial equipment for real-time monitoring and process improvements.
- Deployed custom solutions to optimize production processes and efficiency.
Technologies
- Reduced manufacturing downtime by 48%.
- Decreased plant errors by 49%.
- Achieved 18% reduction in energy consumption.
- Increased overall equipment effectiveness by 16%.
Architecture
Telemetric data from Bühler's industrial equipment is processed and analyzed using Azure Data Explorer and Kusto Query Language. Insights are tailored and delivered via the Bühler Insights platform.
Sources & evidence1
Evidence: High75/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
Went darkLost public footprint
The cited source is no longer reachable and the organization has no newer case. Not a claim the system was discontinued.
- Cited source last checked Jun 12, 2026 — broken (1/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Type: Customer StoryPublished: May 2, 2025Publisher: MicrosoftEvidence: PrimaryConfidence: High
Primary source (unavailable)
AI-generated summary. Verify important details with the linked sources before relying on this case.
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