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Optimizing Financial Services Data Exchange

Traditional IT architectures within financial services organizations are not designed to leverage data effectively, optimize data exchange, or address the challenges of data gravity.

When it comes to data stewardship, 80% of data worldwide will reside in enterprises by 2025.1

Successful digital transformation requires a data-centric IT infrastructure that localizes data aggregation, staging, analytics, streaming, and management at global points of business presence.

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 optimize 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 Optimizing Financial Services Data Exchange Blueprint is part of a library of blueprints and repeatable implementation patterns that make up the Pervasive Datacenter Architecture (PDx™).

Download the Optimizing Financial Services Data Exchange Blueprint and find out how to solve the challenge of massive data to scale digital business.

1.IDC #US44413318, Data Age 2025, The Digitization of the World From Edge to Core, November 2018.