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

A-Team Insight Blogs

A Holistic Approach to Buy-Side Data Management

Subscribe to our newsletter

There is a lot riding on buy-side data management as firms look to tame growing data volumes and increasing complexity to deliver improved decision making, and ultimately, increased revenue and profit. With manual processes and data siloes no longer fit for purpose, buy-side data management has reached an inflection point.

Next week’s A-Team Group webinar, Taking a Holistic Approach to Buy-Side Data Management, will discuss the limitations of legacy data management systems and consider the opportunities of a more holistic approach that not only reduces manual intervention and cost, but also increases data access and accuracy for better business decisions and speed to market.

The webinar will provide practical guidance on how to transition from legacy to a more holistic approach, identify the business and operational benefits of such a transition, and review technologies, solutions and services that underpin next-generation buy-side data management.

Join me, Sarah Underwood, an editor at A-Team Group, and our speakers, Julia Bardmesser former SVP, head of data, architecture and salesforce development at Voya Financial; Sylvain Pendaries, chief data office at PSP Investments; and Don Huff, global head of client services and operations at Bloomberg data management services; next Tuesday for an update on how to modernise your organisation’s data management and the advantages this can offer.

You can register here to take part in the webinar.

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

AI In Financial Services: Where The Real Challenges Are Starting to Emerge

By Joe Norburn, chief executive of TCC and Recordsure. Across financial services, AI is now embedded in day?to?day activities, from fraud detection and onboarding to credit assessment and customer interaction. The UK Treasury Select Committee’s recent inquiry reflects just how widespread that adoption has become, especially among larger institutions. What stands out is not that...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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...