The value of data depends on its ability to be accessed and used. Wealth management firms and trust companies need information that is accurate, timely, and easy to share across the business.
That’s why SS&C Black Diamond® Wealth Solutions made a strategic decision years ago to invest in how data is stored and reconciled. Rather than calculating positional data only when needed, Black Diamond invested in infrastructure to store it, creating a more reliable data foundation for everything from reporting and data sharing to analytics and AI.
This approach becomes even more valuable as data volumes grow, particularly when the same data needs to support multiple applications or use cases. Stored, reconciled data reduces that computational burden and makes information easier to access.
A Data Model Designed for Scale
Black Diamond’s strategy centers on a multi-layered data architecture:
Raw Data: preserves the underlying information for validation and traceability
Staged Data: prepares information for analysis and downstream use
Finalized Data: provides business-ready information for applications and insights
Keeping these layers available has several advantages. Data can be accessed without repeating the same calculations, results remain consistent across use cases, and the underlying information can be traced and validated when needed.
That foundation also supports scale. As the Black Diamond client base grows, the platform can process and retain significant volumes of data while maintaining performance as demand grows. The architecture was designed to grow horizontally, allowing capacity to expand alongside demand.
That matters when bringing in rich accounting data from more than 1,000 connections through a deep integration with SS&C’s Advent Custodial Data. Black Diamond can draw from pre-computed data, reducing the work needed for each request.
Combined with Black Diamond’s new data-sharing capability, clients can instantly access stored, reconciled data in the format they need. For example, Black Diamond supports enterprise data lake offerings, making it easier for firms to share reconciled information across systems in a seamless and compliant way.
A Foundation for AI
Beyond speed and scalability, Black Diamond’s architecture also enables AI and machine learning. A 2025 Wealth Management IQ survey found that 94% of investment and wealth firms are focused on data modernization, with leveraging AI and machine learning among the top objectives.
AI applications need access to reliable data and context around it. Black Diamond’s layered approach provides access to the raw information needed for validation, staged data to support feature engineering, and finalized data for model evaluation.
That end-to-end view is especially important in wealth management, where accuracy, auditability, and governance matter. AI should not operate as a black box disconnected from the data and processes that power the business. Access to the underlying data helps firms understand where information comes from, validate results, and apply appropriate controls.
For Black Diamond, the investment in data infrastructure started well before AI became a major focus. Years of work to store and reconcile positional data at scale have resulted in cleaner, more timely data that is easier to share and use across the business. That puts wealth managers and fiduciaries in a stronger position to use data in new ways, today and in the future.
To learn how SS&C Black Diamond Wealth Solutions is helping wealth management firms navigate growth and complexity, request your personal demo, call 1-800-727-0605, or email info@sscblackdiamond.com today.
