Despite unprecedented data abundance and widespread data science education, even experienced data professionals still struggle to interpret data effectively. They draw wrong conclusions, miss critical insights, or fail to communicate findings in actionable ways.

In this episode, Nicholas Kelly joins Dr. Genevieve Hayes to tackle the critical challenge of data interpretation - revealing why technical expertise alone isn't enough and sharing practical frameworks for transforming raw data into actionable business insights that drive real organisational change.

This conversation reveals:

1. The four primary challenges that make data interpretation so difficult [02:24]
2. Why ChatGPT and AI tools are changing the data interpretation landscape [06:23]
3. The "Five Whys" technique that ensures you're asking the right questions instead of wasting time on problems everyone already understands [17:32]
4. Why successful data projects don't end with presenting insights and what to do next [20:01]

Guest Bio

Nicholas Kelly is the founder of Delivering Data Analytics, a consultancy focused on helping organisations enable their teams to make smarter, faster, and more confident decisions through data and AI. He is also the author of Delivering Data Analytics and the recently released How to Interpret Data.

Links

• Nicholas's Website
• Connect with Nicholas on LinkedIn
• Connect with Genevieve on LinkedIn
• Be among the first to hear about the release of each new podcast episode by signing up HERE

Can you clearly articulate what makes your data science work valuable - both to yourself and to your key stakeholders? Without this clarity, you'll struggle to stay focused and convince others of your worth.

In this Value Boost episode, Dr. Peter Prevos joins Dr. Genevieve Hayes to share how creating a compelling value proposition transformed his data team from report writers to strategic partners by providing both external credibility and internal direction.

This episode reveals:

1. Why a clear purpose statement serves as both an external marketing tool and an internal compass for daily decision-making [02:09]
2. A framework for identifying your stakeholders' true pain points and how your data skills can address them [04:48]
3. A practical first step to develop your own value statement that aligns with organizational strategy while focusing your daily work [06:53]

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
• Be among the first to hear about the release of each new podcast episode by signing up HERE

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
• Be among the first to hear about the release of each new podcast episode by signing up HERE