As asset owners and asset managers grow increasingly data-centric, how and where they store their data becomes more important. Firms may find that the legacy data storage repositories no longer keep pace with users' data demands, and the constraints and performance of on-premises data warehouses can make it difficult to locate and effectively use data. Data-centric firms need to democratize data by making it easily findable and accessible to all data consumers. In this research on data storage, we explore the new technologies that firms are adopting that aggregate and store common investment data and analytics. We cover data storage basics, member practices, and look at the vendor landscape. We also provide summaries of cloud-based data storage and data virtualization products.
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Additional insights on
Data
Sep 08, 2025
Investment Data Platforms
Report
As today's investment management firms face increasing pressure to deliver analytics and AI-ready data to meet modern business needs, they often find that their legacy data platforms struggle to manage data effectively.
Dec 22, 2025
Redefining Data Management for the Rise of AI: Key Insights from Cutter's 2025 Data Management Benchmarking Survey
Infographic
To better support AI initiatives and facilitate platform
modernization, investment management firms are transforming their data
management strategies, shifting away from in-house, on-premises
solutions toward cloud-based and managed data services.
Since 2023, cloud adoption has accelerated among firms and a marked
percentage now consider data a strategic asset. But firms still face
challenges such as lack of data governance, manual processes, and legacy
technology. A majority of firms are modernizing their data management
solutions to support business needs and AI initiatives, and 80% of those
are selecting vended cloud deployment models. AI tools are widespread,
but substantive enterprise adoption in business groups lags rollout in
most firms.
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