Internal data science teams face a unique challenge - they're providing an invisible service that only gets noticed when something goes wrong. This puts data scientists in the awkward position of having to market themselves within their own organization, without any marketing training.

In this episode, Dr. Peter Prevos joins Dr. Genevieve Hayes to share how he applied his PhD research in services marketing to transform his water utility's data team from "report writers" to strategic partners by positioning data science as "Insights-as-a-Service."

This episode explains:

1. Why treating data science as "Customer Satisfaction Engineering" rather than technical implementation shifts everything about team effectiveness [08:19]
2. How understanding both the financial and psychological "price" users pay for insights leads to dramatically better adoption [14:36]
3. The treasure hunt technique that transformed how stakeholders discover and engage with available data resources [18:17]
4. Why the mantra "99% of business problems don't need machine learning" can paradoxically increase your data science impact [22:29]

Guest Bio

Dr Peter Prevos is a water engineer and manages the data science function at a water utility in regional Victoria. He runs leading courses in data science for water professionals, holds an MBA and a PhD in business, and is the author of numerous books about data science and magic.

Links

• Connect with Peter on LinkedIn
• A Brief Guide to Providing Insights as a Service (IaaS)
• Connect with Genevieve on LinkedIn
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