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

A-Team Insight Blogs

The New Frontier of Outsourced Data Management: S&P Global Market Intelligence Report

Subscribe to our newsletter

Digitalisation has taken financial institutions along a prosperous path of better understanding, management and utilisation of the data that their activities generate. But technological evolution and the changed economic environment have placed a new set of challenges onto their shoulders.

Institutions are now grappling with how they can take their digital programme further, especially given that the rising demand for data-management expertise has made it difficult to find the talent to put plans into action. The answer lies in outsourcing data management capabilities to a partner that can take a holistic view of an organisation’s data estate and processes, argues S&P Global Market Intelligence.

In a report published by A-Team Group, the company says that a new generation of third-party data provision is called for, one that can offer the technology and the data feeds to accelerate the digitalisation of institutions as well as the know-how to execute their programmes.

“Today, institutions’ needs are more nuanced and sophisticated. In this new marketplace, the service providers that will prosper are those that can offer data management and analytics skills alongside trusted, robust data sources and underpinned by scalable technology,” the report states. “Not only that, but these solutions must also be configurable to the new investment and risk-management use cases.”

Evolving Strategies

The S&P Global Market Intelligence report, entitled “The Evolution of Outsourcing Data Operations for ESG and Private Assets”, argues that established outsourcing strategies have tended to be focused on providing solutions to specific challenges.

The new alternative is a strategy such as that taken by S&P Global Market Intelligence’s cloud-based Data Management as a Service offering. This solution considers institutions’ broader needs – from sourcing through to distribution and monitoring – and, importantly, it is scalable.

“This solution can be seen as a one-stop-shop in which institutions leverage all the opportunities of software, data and third-party competencies via the cloud, to fully extract the value inherent in their data and scale their operations,” the report states.

S&P Global Market Intelligence illustrates how its solution can help in this scenario through the lens of two new use cases that such organisations are increasingly having to tackle: private market investment and integration of ESG data and processes.

The report argues that both domains offer separate novel data challenges that can be solved through the

The report also offers insights into how:

  • The new trading environment is placing novel data challenges
  • Cloud solutions are helping institutions overcome new data management pressures
  • Tight data talent markets are impacting institutions
  • Data Management as a Service brings together tools and skills that enable professionals to tailor individual solutions to specific challenges.

Download the full report here.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Date: 28 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined...

BLOG

The Business Conduct Risk and Data Challenge Behind AI Adoption

Poor data preparation for artificial intelligence deployments is exposing financial institutions to greater business conduct risks that could cost them as much as US$43 million per year, according to new research. An updated report by business conduct data provider RepRisk found that such AI-related incidents are on the rise as applications are rolled out at...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...