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Centralized Data Reporting & Self-Service Analytics for a Global Logistics Company

February 8, 2025
Centralized Data Reporting & Self-Service Analytics for a Global Logistics Company

A leading global logistics company has recently acquired multiple companies, leading to data fragmentation across various systems, platforms, and reporting structures. The lack of a centralized reporting framework made it difficult for business leaders to gain a unified view of operations, financials, and performance metrics. The company needed a scalable, self-service reporting solution to integrate data from newly acquired companies and their existing systems, enabling business leaders to access real-time insights without IT dependency.

TECHNICAL SOLUTION & ACTION 

Leveraging our global technical expertise and strong partnerships, we designed and implemented a modern Data Visualization & Self-Service Analytics Solution, enabling business leaders to gain real-time insights from a unified reporting platform.

  1. Data Integration & Centralization with Cloud Data Lake
  • Established an Azure Data Lake Storage Gen2 to serve as the centralized data repository for all acquired companies and existing logistics systems.
  • Implemented Azure Data Factory (ADF) and Delta Lake as the ETL pipeline to extract, transform, and load data from:
  • ERP Systems: SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics
  • CRM Platforms: Salesforce, HubSpot
  • Fleet & Logistics Management: Samsara, Geotab, Verizon Connect (GPS Tracking, IoT Sensors)
  • Financial & Accounting Systems: QuickBooks, Workday, Oracle Financials
  • Warehouse & Inventory Management: Manhattan Associates, Blue Yonder
  1. Cloud Data Warehouse for Structured Reporting & Analytics
  • Deployed Snowflake as the cloud data warehouse, ensuring high-performance queries, scalability, and multi-cloud flexibility.
  • Created dimensional data models and star schemas to optimize report generation for business leaders.
  • Used DBT (Data Build Tool) for data transformation and governance, ensuring clean, structured data for BI reporting.
  1. Self-Service BI with Power BI & AI-Driven Insights
  • Built Power BI dashboards to provide real-time insights across:
  • Operational KPIs (Order Fulfillment, On-Time Deliveries, Shipping Delays)
  • Financial Reporting (P&L Statements, Revenue, Cost Optimization)
  • Supply Chain Performance (Fleet Utilization, Fuel Consumption, Route Optimization)
  • Integrated Azure OpenAI Service to allow users to query data using natural language (NLP) directly within Power BI.
  • Enabled automated alerting & notifications via Power Automate for logistics managers and business leaders.
  1. AI & Predictive Analytics for Logistics Optimization
  • Implemented Azure Machine Learning to:
  • Forecast demand and inventory fluctuations using historical trends.
  • Optimize last-mile delivery and route planning with AI-powered route suggestions.
  • Detect financial anomalies and fraud risks in newly acquired companies.
  • Embedded predictive analytics dashboards in Power BI for AI-driven insights.
  1. Governance, Security & Compliance
  • Implemented Azure Purview for enterprise data governance and lineage tracking.
  • Applied Role-Based Access Control (RBAC) with Azure Active Directory (AAD) to ensure secure, role-specific access to reports and dashboards.
  • Ensured GDPR, SOC2, and ISO 27001 compliance for all financial and operational data.
  1. Business Adoption & Change Management
  • Provided comprehensive Power BI training workshops for business teams.
  • Developed an internal Center of Excellence (CoE) to drive best practices, governance, and self-service adoption.
  • Created a self-service BI portal with embedded Power BI reports accessible via Microsoft Teams & SharePoint.

RESULT & BUSINESS VALUE: 

  • 100% centralized data visibility across parent and acquired companies, creating a unified enterprise reporting system.
  • 75% reduction in IT dependency, enabling business leaders to generate real-time reports and dashboards independently.
  • AI-driven predictive analytics, optimizing logistics efficiency, fleet management, and financial forecasting.
  • Seamless integration of newly acquired companies, ensuring business continuity and transparent reporting.
  • Future-ready analytics infrastructure, built for scalability, agility, and continuous business growth.

Unlock enterprise-wide visibility and self-service analytics for your logistics operations. Transform fragmented data into a powerful, centralized reporting platform. Partner with us to future-proof your analytics strategy with our strong global technical expertise! Contact us today!