We broke down the valuation process and evaluated the ability of each step in achieving its intended operation
We reviewed machine learning-based valuation methodologies in the industry to identify best practice and key gaps
We advised on adjustments to the client’s methodology to remove data noise and increase valuation accuracy
A comprehensive rating of each step within the valuation process, against peers and best practice
Refinement to data collection and data cleansing processes to enhance valuation input
The client went on to successfully secure USD 100m in seed AuM from an institutional investor
© QUINLAN & ASSOCIATES LIMITED – 2022
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