How To Fullstack with Valerie Junk

Bridging the Data Gap: Why Communication Matters More Than Technology

In the first-ever English episode of the Daten-WG Podcast, I had the pleasure of welcoming Valerie Jung, a well-known expert in Power BI and data visualization, for a deep conversation about one of the most underestimated success factors in data projects: communication.

Valerie's journey is inspiring. Originally rooted in backend data engineering — building complex data models and architectures — she shifted her focus to the frontend after realizing that most users weren’t using the carefully crafted data structures as intended. Instead, they reverted to familiar patterns: exporting data to Excel, distrusting reports, and misinterpreting valuable insights.

But why does this happen?

It’s not a technology problem. It's a human one. Trust in data doesn’t come from bigger databases or fancier dashboards. It grows through transparency, communication, and a relentless focus on the real needs of business users.

We discussed why Power BI changed the game by bringing data closer to users, why Microsoft Fabric could further close the gap between data engineering and business needs, and how cultural and communication barriers still remain the biggest hurdles to success.

Both Valerie and I agreed: great data work is not just about technical skills. It’s about understanding people, building trust, and speaking a common language — even if that sometimes means slowing down, drinking coffee, and just listening.

If you're working in data — whether on the backend or in business intelligence — this episode will give you a fresh perspective on what really makes data projects succeed.

Listen to the full episode now and let’s start building better bridges across the data divide!

Key Learnings

1. Communication is the backbone of successful BI projects: Building a solid data infrastructure is important, but without clear dialogue between data teams and business users, even the best models remain unused.

   
   

2. Trust in data products doesn't come automatically: Users need transparency and visibility into how data is processed to fully embrace dashboards and analytics tools.

   
   

3. Modern platforms like Microsoft Fabric offer big opportunities — if introduced carefully: Technology alone doesn’t solve problems; guiding users step-by-step is critical for adoption.

   
   

4. Data visualization is ultimately an act of empathy: The best dashboards don't just look good — they are designed with real end users and their daily challenges in mind.