Identify drivers that determine success of start-ups in Big-data space

Investment strategies for investing in start-up companies are widely based on intuition or past experience. While multiple reasons can be attributed to the reliance on intuition, one of the major reasons is the lack of adequate information about the performance of these start-ups. As a result, investors rely primarily on the need being addressed, background of the founders, size of the market being addressed and the ability of the company to scale after tasting early success. The question we pose here is, “can we identify factors from public sources that can be used to score prospective start- ups based on their potential to be successful”. This model will then allow investors make more informed decisions and rely less on their intuitions.

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