In today’s data-driven environment, it has become increasingly crucial for asset managers to maintain full visibility into the lifecycle of their data – how it transforms and flows from its source to destination. With this, data lineage tools have grown in importance to help firms track changes made to their data, find and fix gaps, and see which processes were used when their data was updated. This not only enhances data quality, but it also instills confidence in managers that the data they are using in decision-making is accurate.
The trade life cycle, which forms the backbone of all hedge fund operations, can be broadly categorized into start-of-day positions, trade capture, trade allocation and trade reporting. Each of these areas, however, comes with its own set of challenges that automation can help solve, as described below. Read More
Following the pandemic and market volatility that ensued in its earlier days, private debt assets have hit new highs with total AUM reaching $887 billion as of June 2020 . To address this immense growth, however, deal/fund structures – along with operations and technology – have become far more complex, especially for those creative deals that have been designed to align with higher risk tolerance.