The Challenge
FedEx manages massive volumes of customer satisfaction data collected from regions around the globe. This data was previously housed in an on-premise data lake supported by a fragmented set of tools and technologies. The environment was complex to maintain, costly to scale, and lacked the agility required to support advanced analytics and business insights.
FedEx engaged Momentum Solutions to lead the migration of their global customer satisfaction data lake to the Microsoft Azure Cloud, with the following goals:
- Consolidate toolsets used for ingestion, transformation, modeling, and analytics
- Improve scalability and performance of the data platform
- Reduce operational overhead and infrastructure cost
- Enable global access to client satisfaction data for data scientists and business leaders
- Preserve existing data models while modernizing analytics capabilities
Our Approach
Momentum Solutions assembled a cross-disciplinary team of cloud architects, data scientists, engineers, and project managers to lead the end-to-end migration effort. The project unfolded in five strategic phases:
1. Discovery & Assessment:
- Assessed the legacy data lake architecture
- Conducted toolchain inventory and dependency mapping
- Analyzed storage, compute, and network utilization
2. Architecture & Design:
- Designed a scalable Azure-based architecture leveraging Azure Data Lake Storage Gen2, Databricks, Azure Synapse, and Data Factory
- Developed governance frameworks for security, access control, and compliance
3. Data Modeling & Optimization:
- Reviewed and optimized existing data models
- Aligned data structures for better integration with Power BI and other analytics tools
- Introduced data lineage and cataloging via Azure Purview
4. Migration Execution:
- Executed phased migration with minimal disruption to live operations
- Replaced redundant tools with centralized Azure-native capabilities
- Validated all data pipelines for accuracy and performance
5. Training & Transition:
- Delivered hands-on training for FedEx data teams
- Established monitoring, alerting, and SLAs for post-migration performance
Outcome
The entire migration was completed within the 9-month timeline and under budget, delivering a high-performance, unified cloud platform for FedEx’s global customer satisfaction data. Key results included:
- 30% cost reduction in infrastructure through compute and storage optimization
- 40% improvement in data pipeline efficiency and reduced latency
- Unified analytics environment with scalable tools for data science and BI reporting
- Decommissioned 10+ legacy tools through toolset consolidation
- Freed internal IT resources to focus on innovation rather than maintenance
Value Delivered
- Full-scale modernization of FedEx’s customer data platform
- Enhanced global visibility into client sentiment and experience trends
- A flexible foundation to support future AI and machine learning initiatives
- Long-term operational savings and simplified architecture
- Elevated collaboration between business and technical teams across regions
Feel free to contact us
Our mission is to empower business of all sizes
