Hi ,
Welcome back to Value Driven Data Science for 2024!
Correlation does not equal causation, as anyone who has studied statistics
or data science would know. But understanding causality isn’t just important when you’re developing models.
If you’re working in business and want to be recognised for your work, it's essential to be able to demonstrate causality between what you do and the benefit flowing through to the business.
In the latest episode of Value Driven Data Science, I'm joined by Mark Stouse, CEO of Proof Analytics, to discuss how data science can be used to comprehend the underlying cause-and-effect relationships in business data.
Some of the things we discuss in this episode include:
- Establishing
the existence of a cause-and-effect relationship in business data.
- The benefits to organisations of understanding causality.
- How such techniques can be applied to use cases and disciplines beyond marketing analytics.
- How data scientists can drive conversations about analytics at the C-suite level to maximise their impact.
- The potential future impact of
generative AI on data science and the world in general.
You can listen to this episode by clicking the button below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
