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 Bio
Lauren 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 Points
- What 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.
Links
- Connect with Genevieve on LinkedIn
- Be among the first to hear about the release of each new podcast episode by signing up HERE
