All Episodes
Displaying 1 - 20 of 85 in total
Episode 85: [Value Boost] The Office Politics Survival Guide for Data Science Experiments
Here's something that data science courses don't prepare you for: even your most brilliant analysis can fail if you can't navigate the human side of your organisation....
Episode 84: The 7-Step Checklist for Creating Business Impact Through Product Analytics
When working with data, it can be easy to fall into the trap of believing that your dataset represents nothing more than numbers on a page. However, behind every data ...
Episode 83: [Value Boost] How to Gamify Data Science Requirements Gathering for Better Results
Stakeholder requirement gathering is often one of the most dreaded parts of data science projects - dry, tedious sessions where conflicting voices talk past each other...
Episode 82: Why You Should Start Your Data Projects with Pictures Not Data
Most data scientists follow the same predictable process: gather requirements, collect data, build models, and only at the very end create visualisations to communicat...
Episode 81: [Value Boost] How to Frame Data Problems Like a Decision Scientist
Data science training programs often jump straight into technical methods without teaching one of the most critical skills for project success - problem framing. Witho...
Episode 80: Why Decision Scientists Succeed Where Data Scientists Fail
Most data scientists have never heard of decision science, yet this discipline - which dates back to WWII - may hold the key to solving one of data science's biggest p...
Episode 79: [Value Boost] The Win Win Data Product Validation Strategy
One of the biggest risks for independent data professionals is spending months or years developing a product or service that nobody wants to buy. The graveyard of fail...
Episode 78: From Machine Learning Engineer to Independent Data Professional Before 30
The traditional career path of climbing the corporate ladder no longer appeals to many data scientists - who crave freedom and ownership of their work. Yet the leap fr...
Episode 77: [Value Boost] Why Your Data Team Needs a Book Club
The right book at the right time can completely transform your career trajectory, but many data professionals struggle to find resources that directly address their un...
Episode 76: The 3 Step Framework That Transforms Data Order-Takers to Strategic Business Partners
Many data scientists begin their careers expecting to influence strategic decisions, only to find themselves trapped as "data order takers" - endlessly running reports...
Episode 75: [Value Boost] The Psychology Hack That Gets Your Data Insights Heard
Even the most compelling data presentation can fail if it runs headfirst into your stakeholders' cognitive blind spots. Decision makers who claim to be "data-driven" o...
Episode 74: How Competitive Debating Frameworks Can Revolutionise Your Data Science Career
Data storytelling might make your findings memorable, but persuasion is what gets your recommendations implemented. Many data scientists have mastered communication an...
Episode 73: [Value Boost] How to Trust Social Media Data When You Can't Trust Social Media
Social media data drives countless business decisions, but up to 40% of social media engagement may be artificial or manipulated by bots. For data scientists accustome...
Episode 72: The Social Media Hacker's Guide to Better Data Science
Social media algorithms silently shape what billions of people see and how they interact online. While most data scientists work to optimize business value within plat...
Episode 71: [Value Boost] Why Most Dashboards Fail and How to Fix Yours
Most dashboards and reports get ignored despite all the technical expertise that goes into creating them. The reason isn't technical limitations or poor data quality -...
Episode 70: How to Interpret Data Like a Pro in the Age of AI
Despite unprecedented data abundance and widespread data science education, even experienced data professionals still struggle to interpret data effectively. They draw...
Episode 69: [Value Boost] The Value Proposition Framework Every Data Scientist Needs to Master
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 fo...
Episode 68: How to Market Your Data Science Skills Internally with the Insights-as-a-Service Approach
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 scientist...
Episode 67: [Value Boost] The 3 Level Hierarchy That Protects Your Data Science Credibility
When deadlines loom, it's easy for data scientists to fall into the trap of cutting corners and bending analyses to deliver what stakeholders want. But what if a simpl...
Episode 66: How to Think Like a Data Scientist (Even While AI Does All the Work)
The data science world has always been obsessed with tools and techniques - a fixation that's only intensified in the era of generative AI. Yet even as ChatGPT and sim...