Normalized claim
Cross-functional reporting time: 90 minutes decrease
“Cross-functional reporting that took two business days now takes 90 minutes.”
FoodPharma reduces cross-functional reporting from 2 days to 90 minutes with Microsoft Fabric
Use case typeReporting automationUpdated 4 days ago
FoodPharma worked across six disconnected systems, which made cross-functional reporting slow and manual for plant managers, finance, BI, and FP&A teams. Kanerika built a governed foundation layer on Microsoft Fabric, consolidating more than 50 tables and roughly 1 TB of historical data into OneLake with automated daily loads using Data Pipelines and Dataflow Gen2. Power BI provided a consistent reporting layer on top of the unified data foundation, and the architecture was positioned to support future enterprise AI use cases.
- Organization
- FoodPharma
- Industry
- Consumer & Food
- Location
- United States
- Published
- July 2026
Reported outcomes
90 minutes
cross-functional reporting timeTime & speed
15 hours per weekmanual data work recovered
Strategic outcomes
Better decisions & insightSame-meeting decision-making for leadership questionsRisk & complianceGoverned, traceable reporting foundationOther strategic outcomeFoundation for enterprise AI use cases
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Manual data work recovered: 15 hours per week decrease
“The daily incremental refreshes removed roughly 15 hours per week of manual data extraction and reconciliation.”
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- FoodPharma
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Microsoft Customer Stories
Cross-functional questions were delayed because operational, finance, payroll, maintenance, and communication data lived in six disconnected systems
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 2 of 2
- 1Reporting automation
- 2Data platform modernization
- Cross-functional questions were delayed because operational, finance, payroll, maintenance, and communication data lived in six disconnected systems.
- Analysts had to extract and reconcile data manually, often missing the decision window for leadership.
- Kanerika implemented Microsoft Fabric as a production data platform for FoodPharma.
- The team consolidated source data into OneLake, automated daily refreshes with Data Pipelines and Dataflow Gen2, and used Power BI for reporting.
- The Fabric foundation also set the stage for future use of Fabric Data Science, Fabric Real-Time Intelligence, and Copilot in Fabric.
- Cross-functional reporting time dropped from about two business days to about 90 minutes.
- The BI team recovered roughly 15 hours per week from manual data extraction and reconciliation.
- FoodPharma gained a unified governed foundation for enterprise AI and faster decision-making.
Architecture
A Microsoft Fabric lakehouse foundation was built with OneLake as the unified data lake, automated daily loads through Data Pipelines and Dataflow Gen2, and Power BI on top for reporting. The source also states the platform is prepared for future Fabric Data Science, Fabric Real-Time Intelligence, and Copilot in Fabric use cases.
Implementation partners1
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jul 24, 2026Publisher: MicrosoftEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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