Press release
Nasdaq Survey Uncovers Portfolio Managers’ Top Data Infrastructure Challenges
Quantitative managers cite inadequate manpower as source of dissatisfaction; fundamental managers cite inability to quickly onboard and deploy data NEW YORK,
About this update from Nasdaq, Inc.
[{"type":"text","content":"Quantitative managers cite inadequate manpower as source of dissatisfaction; fundamental managers cite inability to quickly onboard and deploy data\nNEW YORK, Dec. 06, 2021 (GLOBE NEWSWIRE) -- Nasdaq, Inc. (Nasdaq: NDAQ) today released results from a survey of portfolio managers across the U.S., revealing the top challenges they face in operating a scalable and efficient data infrastructure. Only 46% of respondents report being very or completely satisfied with their organization’s data infrastructure, and only 2% state that nothing limits their implementation of new datasets. The survey also explored different issues encountered by different types of portfolio managers – quantitative, fundamental and quantamental. Over half of the surveyed quantitative managers (55%) state that lack of talent limits their implementation of new datasets, compared to only 33% of quantamental and 31% of fundamental managers. Of quantitative managers dissatisfied with their organization’s data infrastructure, 87% cite inadequate manpower (compared to 67% of fundamental managers) and 60% cite an inability to quickly test new datasets (33% for fundamental). Of dissatisfied fundamental managers, 60% cite an inability to quickly onboard or deploy new data (33% for quantitative), 53% cite difficultly finding or accessing data within their organization (27% for quantitative), 47% cite compliance (27% for quantitative) and 40% cite outdated technology (33% for quantitative). Across data onboarding, quality assurance (QA), testing and deployment, quantamental managers note higher satisfaction with the time it takes them to complete these tasks than fundamental and quantitative managers. “One of the key challenges modern portfolio managers face is getting value from data at scale. It can be hard to onboard new datasets quickly and reliably which can delay deployment of new investment strategies,” said Bill Dague, Head of Alternative Data and Nasdaq Data Link. “Building and maintaining a full data stack is expensive and time-consuming, especially for smaller organizations, but it has become table stakes. That’s why we’re seeing a lot of interest from our clients in outsourcing this critical, but undifferentiated function.” The Future of Data Management Outsourcing Over half (55%) of portfolio managers surveyed currently outsource functions related to data im...