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Data engineering
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Garbage In, Garbage Out — Or Why Strategy and Clarity Must Come Before Implementation

Jun 4, 2025
2 min.
CLM
Author
T1A

This idea came through during the Salesforce Data Cloud session at CzechDreamin where conversations revolved around what it really takes to build thoughtful, secure, and human-centered digital experiences. Our colleague Mira Kiselgof gathered some of the most memorable insights.

Too often, teams rush to adopt new tools without first aligning on strategy or addressing the quality of existing data. But even the most powerful tools can’t compensate for unclear goals, poor data quality, or lack of governance. Tools are only as smart as the thinking behind them. And Data Cloud demands clear goals, good governance, and a strong mindset.

A few more standout moments from the day:

- Parenting and UX: one of the speakers shared how lessons from parenting — patience, empathy, adaptability — can improve user onboarding design. It reframed how we think about product design in a very real way.

- Discovery is not optional: across multiple sessions, speakers stressed the importance of investing time in understanding user needs before building. No matter how fast we move, we can’t skip the groundwork.

- Security in GenAI: with GenAI everywhere, the focus on safeguarding data felt timely. Privacy, trust, and data protection are key while designing secure AI-powered experiences.

Finally, hearing how others are applying AgentForce to real-world challenges was especially valuable. The diversity of use cases highlighted its flexibility when applied with purpose.

At T1A we are always glad to join events that explore not just the what, but the why. Because strong solutions start with strong questions

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Data engineering
CRM
Process intelligence
CLM
work with us