Start-ups and data science go hand in hand, but usually when people think about how data science can help start-ups, it’s with regard to product development and enhancement. However, it doesn’t matter how great a start-up’s product is, if the financials are a mess, the business is going to struggle.This is where data science can also help start-ups, in the form of financial modelling and analysis.In this episode, Lauren Pearl joins Dr Genevieve Hayes to discuss her work in helping start-up founders translate their business ideas into maths via financial models.Guest BioLauren Pearl is a CEO-turned-CFO who helps start-up founders work better with financial data. She holds an MBA from NYU’s Stern School of Business and is the resident start-up finance expert at NYU’s Berkley Centre for Entrepreneurship.Talking PointsWhat is meant by financial modelling?The challenges of building financial models with little or no data.Why is it important for founders to understand their financials.The potential consequences of not understanding financial data.How founders can use data and technology more generally to help in running their business.LinksConnect with Lauren on LinkedInLauren Pearl ConsultingConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

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