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 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: 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

APAC Data Management Leaders Revealed in Inaugural A-Team Insight Awards Introduction

A-Team Group is pleased to announce the winners of the inaugural Capital Markets Technology APAC Awards 2025. These awards celebrate the technology providers and financial institutions at the forefront of innovation across the Asia Pacific region. Coinciding with the announcement, we have also launched our comprehensive annual report, “The State of Capital Markets Technology in...

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

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...