By Giles Smart and Justin Meagher
Today’s financial managers operate in a strict regulatory landscape that can be overwhelming and challenging. Many are struggling to stay on top of the new financial rules (e.g. AIFMD, EMIR, MiFID II, Solvency II, FATCA, and Dodd-Frank) while still effectively servicing their clients.
Among the many challenges faced by managers are investor demand and intensified regulatory scrutiny, which require frequent data compilation from a range of fund datasets. Reporting is tailored for specific stakeholders and regulators, so firms must input information using different methodologies and calculation formats. The raw data requires high levels of data joining and normalization across many different systems, and in some cases, across regions or sources.
Establishing a means to permanently identify a minimum dataset requirement specification is a significant challenge for investment managers. Financial asset profile fluctuation can significantly impact regulatory data point inclusion, rendering minimum data requirements a fluid concept.
What are the solutions?
To ensure efficient regulatory reporting and continued client success, investment managers need to take a centralized approach to data management.
Read our recent whitepaper Addressing data normalization challenges to learn about the barriers presented by most firms’ current operating environments, and how a centralized data strategy can nonetheless be achieved.