About a-team Marketing Services

A-Team Insight Blogs

Asset Managers Identify Top Data Management Challenge as Eliminating Errors

Subscribe to our newsletter

Market volatility, rising interest rates, and fee and margin compression are causing decision makers at asset management firms to call for improvements in data management to better inform investment decisions and address the needs of regulatory compliance, risk management and client engagement.

According to research commissioned by InterSystems, a data technology provider, the top data management challenge and top business driver for asset managers is eliminating errors. Some 54% of the 375 decision makers at asset management firms surveyed for the report said eliminating errors is their top data management challenge and 44% that it is their top business driver.

Other business drivers for improving data management include responding to requests from the business in a timelier manner, noted by 41% of asset managers; providing the front office with accurate data for making investment decisions, noted by 37%; and providing more timely reporting data for internal and external stakeholders, noted by 35%.

Only 3% of respondents use data that is less than five hours old for reporting, 46% report that the data they use to make business decisions is more than 24 hours old, and 17% use data that is more than a week old. Some 66% of respondents require six to nine people to process data to meet the needs of business stakeholders, and 41% percent of firms report that their IT personnel spend between 26% to 50% of their time servicing data requests.

“This research confirms that the top data management challenges for asset management firms are around access to accurate, timely, and trusted data in order to eliminate errors, inform investment decisions, and better address compliance, risk management and client engagement needs,” says Joe Lichtenberg, global head of product and industry marketing at InterSystems. “To do this effectively, firms must minimise labour-intensive and error-prone manual processes that erode efficiency and create delays.”

The research surveyed 375 decision makers at asset management firms globally and was conducted by independent research firm Vitreous World. The full report, Data: A Competitive Differentiator, can be found here.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: An Agile Approach to Investment Management Platforms for Private Markets and the Total Portfolio View

Data and operations professionals at private market institutions face significant data and analytical challenges managing private assets data. With investors clamouring for advice and analysis of private markets in their search for returns, investment managers are looking at ways to gain a more meaningful view of risk and performance across all asset types held by...

BLOG

Clearwater Looking to Bridge Front-to-Back Office Tech Gaps with Acquisitions

It’s difficult for data and technology companies to fully service financial institutions’ front-to-back operations when behemoth providers are offering closely integrated capabilities at scale already. Clearwater Analytics, however, has a strategy that it believes will work not by necessarily competing with the big aggregators, but by working with them and filling gaps that they don’t...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

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...