Modernizing Data Platforms with Cloud Analytics and Governance for a Fortune 500 Technology Integrator

The Challenge

The client needed to modernize its internal data management capabilities to better serve its own strategic and operational needs. Existing data was spread across disparate portals and intranets, making it difficult to catalog, access, and analyze information effectively. This lack of a unified data platform and enterprise-wide governance limited their ability to perform knowledge management, conduct master data analysis, and establish a foundation for data literacy.

Project:

Comprehensive Data Platform Modernization
The client initiated a comprehensive data management program to establish a modern, cloud-native data platform and instill strong governance practices. This strategic project was executed by a multi-disciplinary team tasked with:

• Implementing a centralized internal data catalog to provide a unified view of the company’s data assets.

• Developing foundational data governance policies, standards, and processes to ensure data quality and security.

• Conducting a master data management analysis for critical domains like Contracts, Employee, and Products.

• Architecting and deploying a full-stack cloud data platform, selecting Databricks and its Lakehouse architecture as the best-fit technology to meet enterprise needs for scalability and analytics.
  

Results & Benefits:

This project was a resounding success, establishing a strong, modern data foundation for the entire organization. The implementation of the Databricks Lakehouse Platform and the internal data catalog broke down critical data silos and significantly improved data accessibility and trust. The new governance framework and enhanced data management practices have driven positive change, positioning the client to leverage its data more effectively for strategic insights and operational excellence.