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

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

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

Banks Should Optimise Collateral in 2026 to Lay the Groundwork for Greater Efficiency and Innovation

By James Pike, Chief Revenue Officer and Head of Strategy, Taskize. Collateral teams have been tested in 2025. Banks have weathered multiple bouts of high volatility, including the fallout from ‘Liberation Day’ and sell-offs over fears of a possible AI bubble. Sharp spikes in volatility across multiple asset classes have the potential to disrupt collateral...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...