Hi ,
Data science is the only profession I know where you have to market yourself within your own organization to do your job.
Nobody questions why accounting or legal teams exist.
Their value is well-established and understood.
But data science? It's so new that many businesses have yet to experience its value first-hand. So it's left to data scientists themselves to demonstrate what's possible if they want to succeed.
Here's the fundamental
problem: Most data scientists were trained as technicians, not marketers.
You learned:
✴️ Python;
✴️ Statistics; and
✴️ Machine learning.
You didn't
learn:
✴️ How to position yourself as a value creator;
✴️ Communicate ROI to executives; or
✴️ Build internal demand for your services.
Yet that's exactly what you need to survive and thrive.
The solution? Stop thinking of yourself as a technician and start thinking of yourself as a service provider.
Dr. Peter Prevos figured this out the hard way. As a water engineer managing a data science team, he watched brilliant insights end up in drawers while upper management questioned his team's value.
Then he applied his PhD research in marketing to transform his approach - positioning data science as "Insights-as-a-Service."
Peter joins me in the latest episode of Value Driven Data Science.
In this episode, you'll discover:
- Why treating data science as "Customer Satisfaction Engineering" rather than technical implementation shifts everything about team effectiveness [08:19]
- How understanding both the financial and psychological "price" users pay for insights leads to dramatically better adoption [14:36]
- The treasure hunt technique that transformed how
stakeholders discover and engage with available data resources [18:17]
- Why the mantra "99% of business problems don't need machine learning" can paradoxically increase your data science impact [22:29]
Stop being the best-kept secret in your organisation.
Listen now on Apple Podcasts or Spotify, or click the link below:
Episode 68: How to Market Your Data Science Skills Internally with the
Insights-as-a-Service Approach
Talk again soon,
Dr Genevieve Hayes
