Optimizing Multi-Strategy Data Operations by Balancing Build-and-Buy

Client Profile

A US-based alternative investment manager with approximately $30 billion in assets under management operates across private equity, direct lending, credit, insurance, and reinsurance strategies. As a multi-strategy, multi-manager organization, the firm delivers flexible investment solutions across asset classes and capital structures to institutional and private clients.

In addition, the firm manages a large family office, introducing corporate accounting and consolidated reporting requirements alongside fund-level operations. Rapid growth across strategies and entities increased operational complexity, making scalable, enterprise-grade data operations a strategic priority.

Client Goal

The firm sought to establish a single source of truth for financial and operational data across all businesses, while retaining flexibility to support proprietary investment structures, reporting logic, and workflows.

Rather than pursuing a purely internal build or relying solely on rigid off-the-shelf platforms, leadership aimed to balance best-in-class technology with targeted customization, accelerating time to value while maintaining control over differentiated use cases. The objective was to create a centralized data foundation that could be accessed by multiple teams, support self-service reporting, and scale efficiently with continued growth.

Client and Market Challenge

Rapid expansion exacerbated data fragmentation across fund administrators, internal accounting systems, and external data providers. Business units operated with siloed data sets and bespoke reporting processes, driving inefficiencies, reconciliation challenges, and version-control risk.

While commercial platforms addressed portions of the problem, none of them could fully support the firm’s cross-strategy, cross-entity reporting requirements, particularly across private credit, insurance, and family office structures. At the same time, a fully custom, internal build would have required significant ongoing investment and operational overhead. The firm needed an enterprise solution that combined industrialized infrastructure with the ability to extend where differentiation mattered

Arcesium Solution

Arcesium implemented a hybrid data platform, Aquata®, and operating model that unified fragmented systems into a single, enterprise-wide data environment while enabling selective customization for proprietary requirements.

Please fill out the form below to access the content:

Optimizing Multi-Strategy Data Operations by Balancing Build-and-Buy Case Study