Saizen Case Studies
Retail Bank Case study – Data Mesh
A major retail bank modernized its data infrastructure by embracing a data mesh-inspired approach on Google Cloud. Leveraging BigQuery, it achieved data democratization, accelerated decision-making, and enhanced customer insights.
Overview
Large Retail Bank has been leveraging cloud technology to modernize its data infrastructure and explore data mesh-like strategies.
Implementation
- Google Cloud: Bank has partnered with Google Cloud to migrate and manage its data, aiming to create a more integrated approach to data management.
- Cloud Data Warehouse: Utilizing BigQuery allows for better optimization of data storage and processing, making it easier for teams to access and analyze necessary datasets.
Outcomes Achieved
Key Outcomes:
- Data Democratization: The approach has enabled departments to work more autonomously with their data, driving innovation and faster decision-making.
- Enhanced Customer Insights: More integrated data analysis has led to improved understanding of customer behavior, enabling personalized services.