Waters Rankings 2025: Best enterprise data management (EDM) system provider—Finbourne Technology

Overview

Finbourne Technology is reshaping investment management for the modern data era. By addressing data complexity as its foundation, its cloud-native data management platform connects data, workflows and insights across the investment lifecycle. Built for performance, scale and transparency, Finbourne helps financial institutions to grow their revenues, cut their costs and manage their risk. The firm’s mission is to structurally reduce the cost of investing and increase operational efficiency by transforming data from a series of siloed systems to an interconnected network.

The solution  

EDM+ is Finbourne’s data management platform, designed to ingest, unify and distribute data from any source and in any format to all users within an organization. Its data model enables outputs to be customized based on users’ needs without the complexity, time and processes associated with data transformation. EDM+ was designed as an API-first solution, enabling it to connect to both financial and non-financial data sources within an organization.

Differentiators  

Finbourne’s EDM+ solution delivers measurable outcomes through:

• Real-time data virtualization: Users can retrieve and query data across systems instantly, reducing reconciliation time by up to 75%.
• Bi-temporal data lineage: Firms can recreate any point-in-time view with full auditability.
• Open and extensible data model: Clients can adapt or extend data models to suit their unique business needs.
• Cloud-native, API-first architecture: This enables rapid deployment within existing environments and reduces integration timelines by up to 25%.
• Granular access controls: Role-based permissions ensure secure and compliant data access across the enterprise.

Recent goals

Over the past 12 months, Finbourne has doubled its client count with significant wins in the pension fund and alternative asset management industries. It has also enhanced EDM+ to enable organizations to adopt AI safely. Using the Model Context Protocol (MCP), Finbourne allows permission-aware AI agents to access live operational data, automate workflows, and take compliant action in real time. This provides a pathway to intelligent automation without compromising governance or auditability. 

Product roadmap

Over the next 12 to 18 months, Finbourne will further enhance its:

• Integrations marketplace: Expanding its integration network to connect clients to the broader financial market ecosystem
• Automation management: Removing human intervention through scheduled and event-driven workflows
• Data control and exception management: Evolving capabilities for a seamless experience across data quality, matching and merging, and reconciliations
• Data access and reporting: Using no-code features to combine data sources and report from a suite of configurable dashboards over a single data source