Notifications
Clear all
Topic starter
24/06/2026 9:05 pm
TL;DR: Loading times that are 2 to 5 seconds faster and AI-generated descriptions now help users trace relationships, perform impact analysis, and read lineage more clearly, according to Collibra. The underlying issue is governance trust: if diagrams are slow, inconsistent, or hard to interpret, downstream decisions about data controls become less reliable.
NHIMG editorial — based on content published by Collibra: A better way to visualize data relationships, a new diagram user experience
Questions worth separating out
Q: How should governance teams evaluate better lineage diagram UX?
A: They should evaluate it by decision quality, not by appearance alone.
Q: Why do lineage diagrams matter for data and identity governance?
A: Lineage diagrams matter because governance depends on understanding how assets, permissions, and downstream dependencies connect.
Q: What do teams get wrong about AI-generated documentation in governance tools?
A: Teams often assume generated descriptions can replace metadata discipline.
Practitioner guidance
- Audit diagram workflows for context loss Check whether users must leave the asset page to inspect lineage or edit relationships.
- Validate AI-generated descriptions against source metadata Review whether automatically generated diagram text accurately reflects asset names, owners, and relationship paths before using it in documentation or audit artefacts.
- Measure lineage usage after UI changes Track whether faster loading and integrated exploration increase the number of impact analysis, certification, or review tasks completed inside the governance platform.
What's in the full article
Collibra's full article covers the product-level workflow detail this post intentionally leaves for the source:
- The exact inline editing behaviour and state synchronisation model used in the redesigned diagram experience.
- The Capture a Picture flow for generating AI-based diagram descriptions from included assets.
- The performance and navigation changes that reduce page load time and improve exploration.
- The design feedback loop from beta users and internal stakeholders that shaped the final interface.
👉 Read Collibra's update on the redesigned diagram user experience →
Data lineage diagrams: what the new UI means for governance teams?
Explore further
25/06/2026 6:05 am
Visual clarity is now a governance control surface, not a cosmetic layer. When relationship diagrams are hard to read, users make slower and weaker decisions about impact, ownership, and traceability. That weakens the practical value of lineage in both data governance and identity-adjacent programmes. The field should treat readable dependency views as part of operational control design, not as a presentation problem. Practitioners should judge diagram UX by whether it changes the quality of governance decisions.
A few things that frame the scale:
- Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities, according to The State of Non-Human Identity Security.
- That confidence gap is consistent with broader governance immaturity, where 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to The 2024 ESG Report: Managing Non-Human Identities.
A question worth separating out:
Q: How can organisations tell whether a diagram tool is helping governance?
A: Look for evidence that users are completing more reviews inside the system, spending less time tracing dependencies manually, and relying less on external workarounds. If the tool improves speed but not completion rates or confidence in impact analysis, it is improving usability without materially improving governance.
👉 Read our full editorial: Data lineage diagrams now hinge on clearer context and trust
