With the vast amounts of data firms deal with on a daily basis when calculating FIA, how can firms ensure that the data they are processing is accurate? How can they make sense of it all?

There are multiple ways to calculate performance. Which method is right for your firm and what questions should you ask when evaluating performance solutions?

For those tasked with ensuring compliance at MMFs, the implementation of these regulations will entail a number of new tasks, processes and challenges. With Article 37 MMF Reporting now due in September 2020, there is still time to strategically prepare for it and related stress testing programs.

COVID-19 has stressed the need to simulate its impact on liquidity, adding to the ever-growing list of challenges that asset, risk, and compliance managers face when monitoring the resiliency of investment funds.

The self-service revolution has empowered consumers to digitally seize control, leaving all but the best firms to play catch-up. What happens when digital-savvy customers encounter an investment management industry where two-thirds of firms rely on systems that pre-date 2007?

As concepts such as big data, data lakes, enterprise data warehousing, data privacy, data protection, and data breaches gain more attention, there is little doubt that data has become an integral component and focus for organizations in the 21st century.

The availability of timely and accurate data is an essential element of the everyday operations of many organizations. Equally, an inability to capitalize on data assets will have far-reaching effects.

There is always some liquidity: you can nearly always get out of a position, it’s more a question of how long you’re willing to wait and/or how much it will cost you.

Discover how the middle office can enhance its reputation and continue to deliver excellent service when faced with more requests from more stakeholders.

Data has rightly been described as the new gold, with organizations everywhere scrambling to pull nuggets of pure data gold from the vast amounts of data that is being generated.