Hi ,
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 the latest episode of
Value Driven Data Science, I'm joined by Lauren Pearl, resident start-up finance expert at NYU’s Berkley Centre for Entrepreneurship, to discuss her work in helping start-up founders translate their business ideas into maths via financial models.
Some of the things we discuss in this episode include:
- 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.
You can listen to this episode at the link below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
