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Implementation of Scalable Cloud-Based Data Warehouse with Power BI Integration for FMCG Manufacturer
  1. case
  2. Implementation of Scalable Cloud-Based Data Warehouse with Power BI Integration for FMCG Manufacturer

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Implementation of Scalable Cloud-Based Data Warehouse with Power BI Integration for FMCG Manufacturer

itmagination.com
Food & Beverage
Manufacturing

Business Challenges Identified

Legacy Excel-based reporting caused 1-week delays in data insights, limited accessibility for 100+ users, and fragmented data sources hindered decision-making. Required scalable cloud infrastructure to unify 26 disparate data sources while maintaining FMCG operational agility.

About the Client

Family-owned cheese manufacturer with €1.59B revenue and 5,000 employees operating across Europe and the USA since 1927

Strategic Project Goals

  • Reduce time-to-insight from 7 days to under 24 hours for 100+ users
  • Implement self-service BI capabilities through Power BI integration
  • Create unified data warehouse consolidating 26+ heterogeneous data sources
  • Establish single source of truth for enterprise-wide reporting
  • Enable ad hoc analysis capabilities for business stakeholders

Core System Requirements

  • Automated ETL pipelines for 26+ data sources (Excel, CSV, databases)
  • Scalable Azure-based data warehouse architecture
  • Power BI report templates for sales, planning, and monitoring KPIs
  • Role-based access control for data security
  • Self-service dashboard customization tools

Technology Stack

Microsoft Power BI
Azure Analysis Services
SQL Server
Azure Data Factory

System Integrations

  • ERP systems
  • CRM platforms
  • Legacy Excel databases
  • CSV file repositories
  • Operational databases

Operational Requirements

  • 99.9% system uptime SLA
  • Support for 500+ concurrent users
  • Data encryption at rest/transit
  • Auto-scaling capabilities for 10x data growth
  • ISO 27001 compliance

Business Value Projections

Executive decision-making accelerated through real-time KPI visibility, operational efficiency gains from automated reporting workflows, and 85% reduction in manual data reconciliation efforts. Enables proactive market response capabilities for FMCG sector through timely sales and planning analytics.

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