Modernizing Enterprise Data for Smarter Decisions

Overview

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.

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