If you think the journey to mastering your enterprise data management (EDM) is difficult, consider the teams wrestling with alternatives data management (ADM). Increasing correlation between traditional investments (equities and fixed income) and the pursuit of Alpha has fueled the expansion into alternative investments. Beyond allocations to external managers and hedge fund managers, this segment extends to private equity, private credit, real estate, real assets, infrastructure and more. Each brings its own complexity. When you layer in fund of funds, primary and secondary investments; the customary drill through for traditional investments is just not possible.

Although alternative investment teams use dedicated tools including IHS Markit’s iLevel, Burgiss’ Private I, Solovis and others; they still rely in some way on Excel and significant manual effort to wrangle their alternatives data. ADM challenges are not just internal to the team working to meet their own analytic and reporting needs, but external as well. In an analytics-led and data-driven world, firms want to see the whole picture to understand how the full range of investments roll up. CIOs and many others need to examine exposure, risk and performance from a holistic viewpoint, rather than from individual asset class silos. This paper explores the challenges of blending EDM and ADM to drive this complete viewpoint.

by Mick Cartwright, CIPM, Managing Director
and Christine (Tina) M. Madel, CFA, Principal


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