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

Alternative Asset Managers Struggling with Data Consistency Issues During COVID-19

Subscribe to our newsletter

Although asset managers are looking to leverage digital-first outsourcing providers, native cloud platforms and data management core competencies to continue moving forward amid the global pandemic, data consistency issues are holding up progress.

Indus Valley Partners, a provider of tech solutions & services to the buy-side, surveyed over 60 asset management CXOs at its virtual Mindmeld conference in May, representing $3 trillion in AUM. Over half (53%) highlighted that consistency of data was their biggest challenge, rising to 90% in funds focused on private assets (private credit, real estate and real assets).

In addition, 100% of funds admitted that they do not yet have a 360-degree view of deals within their fund due to the absence of a single golden source to watch deal terms, structure, covenants, financials, KPIs, compliance testing results, and more. A further 58% of respondents claimed that their firm did not have a centralized golden copy to manage portfolio, counterparty and other legal entity datasets.

Looking ahead, it seems that these data management gaps will be a top priority in future, with a substantial proportion (38%) of firms planning to invest in data science and insights in the future, while 35% said they would devote capital to foundational platforms in order to accelerate their journey towards some of the more advanced stages.

Data governance, maintaining a golden copy of data and enabling self-service for users were cited as the three key areas of focus for data platform initiatives in 2020.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Stage is Set for 16th Annual Data Management Summit London

The 16th annual A-Team Group Data Management Summit London gets underway tomorrow morning, with another high-level gathering of industry experts to look over the state of play in data management within capital markets. A full-day of panel discussions, debate and networking will take place as well as a slew of keynote addresses from some of...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

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...