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

A-Team Insight Blogs

Great Eastern Life Selects Eagle’s Enterprise Data Management Platform

Subscribe to our newsletter

Eagle Investment Systems, a provider of financial services technology and a subsidiary of BNY Mellon, today announced that Great Eastern Life, Singapore’s leading life insurance group, has selected Eagle’s enterprise data management solution to consolidate and aggregate its investment data to help streamline its operations and respond to regulatory requirements.

Data management remains a priority for Asian financial institutions seeking to further mitigate risk, enhance efficiencies within their operations and comply with strict regulatory reporting requirements. By implementing a centralised data management strategy, investment managers can obtain an aggregated view of their portfolios to help understand risk and exposure to various funds.

After Great Eastern’s extensive search for a new platform, Eagle was selected based on its implementation track record and extensive history of delivering data management solutions to investment managers worldwide.

“As an organisation with over US$50 billion in assets under management at the Group level and experiencing fast growth in the markets we operate in, Great Eastern was looking to build an integrated system that is capable of aggregating data across all asset classes, markets and currencies to help facilitate quick decision making. This was something that became extremely important after the global financial crisis. I am confident that with the Eagle data management system, we will have single consistent views of all our investments and risks across the Group” said Tony Cheong Jin Keat, group chief financial officer of Great Eastern.

John Legrand, managing director of Eagle’s Asia-Pacific and EMEA operations said, “Throughout the region, we continue to see companies like Great Eastern with long-term and strategic goals of mitigating risk while at the same time improving operational efficiencies. Increasingly, financial organisations across Asia Pacific are implementing data management solutions and rolling out data governance strategies to help achieve these objectives.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Centralised Data Management Key to AI Success: Webinar Review

The absence of a centralised data management strategy for artificial intelligence is the biggest hurdle to integrating data from different sources for use with the technology. That was the finding of a survey of capital markets participants at a recent A-Team LIVE webinar “How to Organise, Integrate, and Structure Data for Successful AI”. While expert...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...