Navigating the Vicious Cycle of Data Confusion

Have you ever wondered why so many data analysts struggle to make an impact despite their technical skills? If you’ve ever felt like your dashboards are more noise than insight or questioned how to elevate your career in data, this episode is for you.

In this episode of More than Numbers Live, Ollie Hughes sits down with data storytelling expert and co-founder of the Analytics on Fire Podcast and Data Storytelling Academy, Mico Yuk, who has trained over 20,000 data analysts. Mico breaks down:

1. The three biggest mistakes data analysts make
2. Why data storytelling and empathy are the real superpowers of modern analysts especially in the age of AI.
3. How applying “TLC - tenderness, listening, and clarity” is the key to success

Mico shares hard-won insights on how data analysts can shift from chart monkeys to strategic thinkers. Tune in to learn how to break the cycle of ad-hoc analytics and truly drive value in your organization!

• [00:53] Mico’s first BI tool and the most common data tools analysts use today.
• [02:53] The "epidemic" of bad analytics: asking the wrong questions, getting lost in the tools, and failing to think critically.
• [06:27] Top 3 Reasons that data storytelling and mindset matter more than visualization.
• [07:55] How critical thinking, not dashboards, sets top data analysts apart in the AI era.
• [11:04] Why modern data analytics should focus on workflow, not just data presentation.
• [12:46] How to fix broken analytics: when to iterate versus when to start from scratch.
• [14:54] The importance of enhancing human-to-human interaction to generate value.
• [18:06] Why accepting that hospitality, sales skills, and other keys to a successful data career.
• [19:39] What TLC means in data analytics - tenderness, listening, and clarity and why it’s important.
• [19:55] Career advice for data analysts moving on how to move forward in their careers.

👋 Connect with Mico on LinkedIn

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🔗 Grab all mentioned downloads and links via the show notes page

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