Hi ,
Can you explain why your data science work matters in the time it takes to ride an elevator?
Most data scientists can't.
They either dive into technical jargon that loses their audience or they stumble through vague explanations that dilute their impact.
Here's the thing...
Without a clear value proposition, you can't stay focused on what matters most, and you definitely can't convince stakeholders of your worth.
Water engineer and data science manager Dr. Peter Prevos solved this by creating a compelling value proposition that transformed his data team from "report writers" to strategic partners.
His team's mission is to:
"Transform data into actionable insights that enhance customer experience, reduce environmental footprint, ensure regulatory compliance, and secure financial sustainability."
No
mention of Python, machine learning, or data pipelines - just clear business outcomes.
Peter joined me again in the latest Value Boost episode of Value Driven Data Science.
In this episode, you'll discover:
- Why a clear
purpose statement serves as both an external marketing tool and an internal compass for daily decision-making [02:09]
- A framework for identifying your stakeholders' true pain points and how your data skills can address them [04:48]
- A practical first step to develop your own value statement that aligns with organizational strategy while focusing your daily work [06:53]
Learn how to articulate what makes your data science skills uniquely valuable to your organisation.
Listen now on Apple Podcasts or Spotify, or click the link below:
Episode 69: The Value Proposition Framework Every Data Scientist Needs to Master
Talk again soon,
Dr Genevieve Hayes.
