Leading University Endowment

Executed Complex Information and Decision Analysis for a Very Large Data Set of Highly Divergent Investment Funds. Designed and Tested New UX / HCI Information Display Platform Focused On Providing Rapid Visualization of Fund Status by the Board and Trading Departments.

In a multi-year engagement, MUS created a tablet-based user interface (UI) framework for use in tracking asset variance based on the freshness of data and projected asset value models across an extensive portfolio of complex asset classes. Produced new highly interactive data visualization UI framework for rapidly exploring complex data sets, improved asset management, and board-level decision-making. Created robust simulations and related data presentation schemes.

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