About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Official Launch For Eagle Reference Manager

Subscribe to our newsletter

Eagle Investment Systems has launched Eagle Reference Manager, a security reference data management and workflow product. Reference Manager is a standalone system designed to consolidate, translate, validate and disseminate reference data throughout an enterprise.

Eagle, well known for its EaglePace and EagleStar portfolio management and accounting solutions respectively, has managed data integration as part of these solutions for a number of years. Eagle Reference Manager represents a packaged solution utilising Eagle’s existing technology.

Eagle Reference Manager allows firms to establish a data standard throughout their enterprise and can help eliminate redundancies by centralising data feeds in one repository, then managing and distributing the data consistently throughout the organization. Once data feeds are brought into the Eagle repository, the data is scrubbed, validated and ready for distribution. Since data workflow is managed separately for each instance, exceptions are repaired and validated as needed, without holding up the data workflow process. Eagle Reference Manager uses Eagle’s existing platform independent data model.

“Our technology has always been centred around data,” says Jack Riley, Eagle’s CEO. “We realized early on that security reference data is at the core of a financial services business, and there is a major need for technology to help manage and verify this data.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

12 Leading Vendors Operationalising AI & ML with Robust Data Pipelines

The transition of artificial intelligence and machine learning (ML) models from experimental sandboxes to production environments remains a persistent operational friction point. While quantitative researchers and data scientists can often demonstrate alpha in isolated backtesting environments, the institutionalisation of these models requires a level of data pipeline robustness, latency control and regulatory auditability that research...

EVENT

Eagle Alpha Alternative Data Conference, Fall, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...