Enterprise data ecosystem for unified intelligence and operational excellence
Project Overview
Enterprise data ecosystem for unified intelligence and operational excellence
A multinational logistics provider operating on a Hub-and-Spoke delivery model aimed to modernize its fragmented data systems. The organization needed to shift from on-premise storage to a scalable cloud environment and integrate ERP with multiple third-party applications. The project focused on creating a unified data foundation, deploying enterprise BI dashboards, and enabling cross-departmental visibility across Sales & Operations, HR, and Finance. The initiative established a centralized data ecosystem to support real-time analytics and better decision-making.
The Challenge
The organization faced several hurdles in delivering efficient support:
Fragmented Data Landscape
Legacy on-premise storage and siloed systems hindered seamless access to organization-wide data.
Complex Migration Needs
Required a zero-disruption migration of high-volume operational data to cloud storage.
ERP & Third-Party Integration Gaps
Needed to unify ERP data with information from external logistics and financial systems.
Dedicated Support & Optimization
Provided a flex-blend engineering team for continuous improvements, monitoring, and platform reliability.
Our Solution
Defined a clear modernization roadmap with architecture insights and technology recommendations.
Discovery & Architecture Blueprinting
Reviewed current systems, mapped data sources, and finalized cloud strategy with milestones.
Data Migration & Integration Setup
Moved data to Azure Blob & Data Lake, configured Azure Data Factory pipelines, and integrated ERP with third-party tools.
Data Warehouse & Analytics Layer Development
Built centralized analytics store using Azure Synapse supporting batch and streaming workloads.
Dashboard Deployment & Validation
Developed interactive KPI dashboards, validated data accuracy, and rolled out department-wise reporting suites.
Implementation Process
Discovery & Architecture Blueprinting
Reviewed current systems, mapped data sources, and finalized cloud strategy with milestones.
Data Migration & Integration Setup
Moved data to Azure Blob & Data Lake, configured Azure Data Factory pipelines, and integrated ERP with third-party tools.
Data Warehouse & Analytics Layer Development
Built centralized analytics store using Azure Synapse supporting batch and streaming workloads.
Dashboard Deployment & Validation
Developed interactive KPI dashboards, validated data accuracy, and rolled out department-wise reporting suites.
Results
Modern & Scalable Cloud Ecosystem
Successful migration enabled advanced analytics and future AI/ML capabilities.
Unified Enterprise Analytics
Central Data Warehouse aligned ERP and third-party systems for single-source-of-truth reporting.
Operational & Financial Visibility
BI dashboards empowered Sales, Operations, HR, and Finance with actionable insights.
Improved Transparency Across States & Zones
State-wise and zone-wise summaries enabled better planning, forecasting, and performance tracking.
Technology Used
Azure Cloud, Azure Data Factory, Azure Blob Storage, Azure Data Lake, Azure Synapse Analytics, Power BI
