This Q&A session features insights from a data leaders panel discussion with experts from Talanx, Deutsche Bahn, and viadata. The panel addressed common challenges data and AI leaders face when communicating value to business stakeholders and provided practical strategies for crafting compelling narratives that drive action and secure investment.

Key takeaways from the discussion:

Storylining vs. Storytelling

• Storylining = deciding what you will say and in which order (situation → problem → key question → answer → evidence)
• Storytelling = how you say it (tone, pacing, visuals, metaphors, presence)

Start with the action you want

Before building any presentation, define: "What do I want this audience to do after this?" Design the story backwards from that decision.

Preparation matters more than presentation

The real impact comes from pre-aligning with key stakeholders, testing the storyline with peers, and anticipating objections before the formal meeting.

Less is more

Every word, chart, and bullet is both a message and a potential attack surface. Strip slides to essentials, remove jargon and qualifiers, and design for fast comprehension.

Use entry points people care about

Start with highly visible topics (like generative AI) and connect them back to data foundations to show why quality, integration, and governance matter.

Decisions are made before the meeting

Formal presentations usually confirm decisions already shaped through conversations, 1:1s, and community engagement beforehand.

Conclusion

Data and AI create value when people believe in them and are moved to act. That belief is built through clear storylines, thoughtful delivery, careful preparation, and strong communities of trust.