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

Asset Managers Let Down by Ineffective Data Management Systems

Subscribe to our newsletter

Asset managers already challenged by regulatory compliance and ongoing pressure on fees are being let down by data management and processes that are not very effective at supporting business and operational decision making. According to recent research commissioned by Asset Control, more than two thirds (69%) of asset managers claim their systems are not very effective, while nearly half of asset managers (45%) say their organisation typically measures RoI on data management projects afterwards by carrying out an annual survey into how the business is performing to relevant quality metrics.

The research also reveals management priorities for data management, with ‘reducing cost of current operation’ ranked as a top three priority by just under half of the sample (48%), ahead of ‘reducing operational risk by streamlining data flows’ (46%) and ‘preventing redundant storage and traffic’ (also 46%). These priorities are followed by ‘tracking and reporting on data quality’ (41%) and ‘cataloguing data to make sure data assets are clearly defined and known throughout the firm’ (also 41%).

Eddie Grant, head of managed services at Asset Control, comments: “There are clearly issues with efficiently feeding quality-proofed data into decision making and with accurately, regularly and proactively managing RoI. These challenges can be more effectively addressed using an outsourced managed service approach, where KPIs on data quality and delivery are pre-agreed, transparently tracked and regularly reported to provide proactive tracking of RoI and improved delivery of quality data.”

The research also shows cloud providers, such as Amazon, Google and Microsoft Azure, are deemed best suited to help provide a data infrastructure for asset managers in the future by a third of the sample (33%), ahead of application providers (26%). This highlights the growing focus on cloud-deployed managed services across asset managers’ organisations.

When asked what metadata, contextual information, and quality intelligence their organisation has access to today to improve the quality of decisions, respondents ranked ‘application and business context’ highest (38%), followed by ‘run-time stats and volume information’ (36%) and user ratings and comments (35%).

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Are you making the most of the business-critical structured data stored in your mainframes?

Fewer than 30% of companies think that they can fully tap into their mainframe data even though complete, accurate and real-time data is key to business decision-making, compliance, modernisation and innovation. For many in financial markets, integrating data across the enterprise and making it available and actionable to everyone who needs it is extremely difficult....

BLOG

Data Quality Posing Obstacles to AI Adoption and Other Processes, say Reports

The rush to build artificial intelligence applications has hit a wall of poor quality data and data complexity that’s hindering them from taking advantage of the technology. Those barriers are also preventing firms from upgrading other parts of their tech stacks. A slew of surveys and comments by researchers and vendors paint a picture of...

EVENT

TradingTech Summit MENA

The inaugural TradingTech Summit MENA takes place in November 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 in the region.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...