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

M&G Investments Selects MoneyMate’s DataManager

Subscribe to our newsletter

MoneyMate, a leading provider of investment data management solutions to the global asset management industry, today announced that it has been selected by M&G Investments to implement DataManager to ensure the accurate, efficient and controlled delivery of M&G’s fund product data to internal departments, external agencies and external clients.

DataManager will host M&G’s range of over 50 retail funds, acting as the firm’s central hub for fund data. The data solution will centralise the governance of dynamic and static fund data, facilitating its use via variable formats in a timely manner and providing validation checks. M&G will maintain control through its own specialist department working closely with MoneyMate. DataManager will help M&G succeed in its initiative to adapt to new trends in client data requirements, regulatory scrutiny and risk management.

M&G’s key considerations in choosing a service provider were based on flexibility, security and scalability. Given changing demands from clients, increasing product complexity and geographic expansion plans, it sought a flexible and scalable solution that would support future business needs. With regulatory demands for greater transparency of data, it was also important to implement a system that would enable M&G to demonstrate streamlined processes and complete audit trails for all of its data management processes.

M&G Retail COO Laurence Mumford commented, “Our clients demand timely and accurate data from us at all times. We recognise that by centralising the management of product data through the use of MoneyMate’s DataManager solution we will be in the optimum position to continue to deliver data to the same high standard as our business grows and client demands increase.”

“There is now a clear recognition that resolution of the data quality, transparency and reporting concerns are key priorities within the industry,” remarked Conor Smyth, SVP Global Sales at MoneyMate. “Implementing DataManager will enable M&G to enhance the oversight and control of all of their product information, ensuring it is always available in a timely, accurate and consistent manner, allowing them to deliver best-in-class client service.”

DataManager is currently being implemented at M&G with phases going live over the coming quarter.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

BLOG

Data Quality Still Troubling Private Market Investors: Webinar Review

Obtaining and managing data remains a sticking point for investors in private and alternative assets as financial institutions sink more of their capital into the markets. In a poll of viewers during a recent A-Team LIVE Data Management Insight webinar, respondents said the single-biggest challenge to managing private markets data was a lack of transparency...

EVENT

RepRisk Sustainability Breakfast Roundtable London

The London sustainability breakfast is part of the global roundtable thought leadership event series hosted by RepRisk in key markets, including, New York, Toronto, London, Frankfurt, Oslo, Copenhagen, Stockholm, Hong Kong and Singapore in 2026.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...