The Challenge
A global energy company was struggling with fragmented data management. Siloed data across business functions led to duplicated efforts, inconsistent information and limited visibility. These issues made it difficult to trust the data, slowed productivity and hindered decision-making across the organization.
How We Helped
To solve these challenges, Experis implemented a hub-and-spoke data mesh architecture supported by a centralized Center of Excellence. Snowflake served as the foundation for the solution, enabling seamless data access and integration across the enterprise.
The data platform incorporated a suite of modern tools, including Data Studio, Dlik, Fivetran, Azure Data Factory and Confluent for integration, with Databricks supporting advanced pipeline development and data product delivery.
Key elements of the solution included:
- Standardized policies for data modeling and governance
- Federated access supported by consistent development guidelines
- Advanced analytics and machine learning enabled through Databrick
The Impact
The initiative delivered a more connected and reliable data ecosystem.
- Improved data integrity by removing inconsistencies and reducing duplication
- Boosted productivity by streamlining access to accurate, trusted information
- Enabled data-driven decisions across the organization through better visibility
- Enhanced innovation through scalable analytics and machine learning capabilities
By modernizing its data infrastructure, the company now operates with greater confidence in its data and greater agility in its business decisions.
