The overarching problem faced by many firms and their performance teams is a persistent lack of enterprise-wide visibility into asset performance and risk exposure.
It is becoming increasingly clear that thinking about data and operations through different lenses for front, middle, and back office is the old way of doing things.
From technology decisions, to building the ultimate self-service platform for television content, what can asset managers learn from Netflix when looking at digitization and information distribution?
As investor expectations increase and product innovation develops, the standards are evolving to remain relevant and maintain their core purpose: ensuring performance transparency and comparability.
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?
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.