🧭 Are you a data management consultant, architect, or team lead working to implement or scale data lineage in your organization—while facing challenges like fragmented metadata, tool misalignment, or stakeholder resistance?

This live Q&A session offers a focused opportunity to explore how your peers are addressing these obstacles in practice.

In just 30 minutes, you’ll gain practical insight, share experience, and connect with fellow professionals committed to getting data lineage right.

This session is tailored for professionals who want to:

• Learn how peers are approaching data lineage across different organizational settings

• Exchange experience on practical challenges and what’s worked in the field

• Move beyond tools and frameworks into real-life decisions and trade-offs

• Be part of a growing community of hands-on data practitioners

🔊 This is an interactive session—not a one-way presentation.

Participants are expected to come prepared with questions and be ready to share their own experiences.

The value of this session comes from open exchange, not passive listening.

💬 Proposed discussion topics include:

• How do you start when metadata is fragmented or incomplete?

• What’s the right level of detail for lineage to be usable and maintainable?

• How can technical and business users align on what lineage should deliver?

• What strategies help overcome resistance from business teams?

• How do you avoid over-scoping lineage and still deliver visible value?

🎯 Your key takeaways:

• Understand how to define and scope lineage based on business needs and data maturity

• Learn how to align tools and processes to support cross-functional use cases

• Gain actionable insight into scaling lineage across teams and platforms

• Leave with concrete ideas for tackling the challenges you’re facing today

Organised by Data Crossroads

Aligning Governance Frameworks for Data and AI is a key initiative for many organizations aiming to responsibly manage data and AI while remaining compliant and competitive. Yet, many companies begin their efforts by adopting existing frameworks without a clear understanding of their internal needs, maturity level, and strategic priorities. This “plug-and-play” approach often results in fragmented governance, duplicated efforts, or the failure to operationalize the frameworks effectively.

Hence, the webinar…

In this webinar, we will answer the following:

🔍How to define your needs? A structured approach helps clarify your business drivers, scope, and governance objectives—laying the foundation for designing a harmonized data and AI governance model tailored to your organization.

📋How to specify requirements for a governance framework? We’ll walk through how to translate your needs into actionable requirements across both strategic and operational levels, enabling targeted framework selection and design.

🧩How to choose or adjust the right framework(s)? We’ll compare several leading industry and regulatory frameworks and explain how to align or combine them to meet your goals.