While fund managers and institutional investors rely on accurate, auditable data for decision-making, regulatory compliance, and client trust, the intricate web of stakeholders and legacy systems obscures the origin and transformation path of critical data points.

This hidden complexity leads to costly errors, regulatory risk, and delayed reporting—forcing stakeholders to choose between agility and assurance.

The more diversified the investment mandates, the more convoluted the data trail becomes, compounding operational headaches and exposing funds to undetected risks.

Data exchanges between managers are still largely manual, proprietary, and fragmented.

There is no shared data taxonomy or standardized framework for tracking data across the investment cycle, exacerbated by siloed technology platforms and inconsistent incentives.