Helping Asset Allocators Become Data-Driven Organizations
Asset allocators face both challenges and opportunities as they seek to extract insights from growing volumes of data.
April 2023
Frank Smietana
Head of Thought Leadership, State Street AlphaSM
Bruce Feibel
State Street Alpha Platform Manager
Kishore Kottapalli
Global Head of Cloud Strategy and Engineering at State Street Alpha
The ability to harness large volumes of portfolio, market and reference data – from multiple sources in a flexible, easily accessible manner – creates new opportunities for forward-looking asset allocators.
Asset allocators increasingly require access to data on their investments, driven by stakeholder demands for greater transparency and a need to make timelier, better-informed allocation and de-risking decisions. Most critically, the fiduciary responsibilities of these organizations require deeper insight into their data to ensure proper oversight of their asset servicing and investment management partners.
Traditionally, these organizations have relied on external asset managers to manage their investments, without a process in place for accessing key data on holdings, investable cash and exposures on a timely basis. This leaves many allocators at a distinct informational disadvantage during periods of market turmoil, or when analyzing investment opportunities.
A growing number of allocators are also evaluating their operating models and bringing more higher value-added activities in-house to support growth and optimize fee budgets. The ability to create and maintain a holistic view of their investment data is the first step to supporting portfolio management, risk modelling and trading internally.
In a discussion moderated by Frank Smietana, head of Thought Leadership and Content Strategy at State Street AlphaSM, Bruce J. Feibel, State Street Alpha platform manager, and Kishore Kottapalli, global head of Cloud Strategy and Engineering at State Street Alpha explore the challenges and opportunities facing allocators as they seek to extract more insight from growing volumes of portfolio, market and reference data generated across multiple sources.