Our client is a global technology company managing data across multiple business systems, relying on consistent, high-quality data to support scalable analytics and enterprise-wide decision-making.
Modernizing Enterprise Data for Smarter Decisions
Overview
Business Complexity
Modernize a fragmented enterprise data platform by eliminating duplicate data, standardizing KPIs, improving data quality, and enabling scalable analytics across multiple business systems.
Action
- Built a modern Azure-based data platform by migrating Cloudera workloads.
- Implemented Databricks for data transformation and established MDM governance.
- Standardized SQL-based data integration to improve data consistency and reporting.
- Created a centralized, scalable analytics platform that improved data accuracy, accelerated reporting, increased component reusability, reduced infrastructure costs, and streamlined enterprise-wide data management.
Tech Stack
- Azure
- Databricks
- SQL
Impact
- 30% Reduction in Data Loading Time
- 40% Higher Component Reusability
- 20% Infrastructure & Maintenance Cost Savings