Within financial services organizations, data created from different lines of business is often stored in silos, with some elements on premise and others in the cloud. This traditional IT architecture leads to performance issues, higher operational costs and overall complexity.
Optimizing financial services data exchange requires a data-centric infrastructure architecture that’s designed to defy data gravity, secure data near the customer, and enforce data compliance while also being engineered for AI.
This blueprint provides three critical steps to solving these challenges:
- Data staging and aggregation that improves application performance and user experience while maintaining compliance and data sovereignty
- Public and private data sources that optimise data exchange between users, things, networks and clouds
- Data and analytics that are adjacent to network ingress/egress and enable real-time intelligence across distributed workflows locally and globally
Developed by expert Solution Architects, the Optimising Financial Services Data Exchange Blueprint is part of a library of blueprints and repeatable implementation patterns that make up the Pervasive Datacenter Architecture (PDx™).
Get your access to the Optimising Financial Services Data Exchange Blueprint and find out how to remove Data Gravity barriers and create centers of financial services data exchange to scale digital business.