Collibra Data Quality
Transformational redesign of a standalone data quality app during platform integration celebrated by users.
Company:
Collibra
Work:
- Deep redesign of all core tasks and screens
- Figma prototype creation and user research support
- Lead design feedback sessions with customer success
- Supervised 1 designer
Role:
Staff Product Designer
Navigation streamlined
From 14 overwhelming menu items organized by system objects to
5 intuitive options based on data landscape and task.
5 intuitive options based on data landscape and task.
Data quality job details clarified
- Secondary information moved from top center to a collapsible sidebar.
- Metrics unified from 4 into 1 graph with calmer use of color.
- Breaking monitors sorted to the top of a combined table rather than hidden on 9 tabs.
New AI and automations
- Schema-aware generation of SQL data quality rules.
- Automatic creation of data quality rules for automatically detected data classes.
- Automatic setup of freshness, popularity, and volume monitoring by data source using resource-light system metadata.
3 create data quality jobs unified
From 3 similar flows for full or partial scan or SQL query into
1 unified dialog where filter columns, rows or custom SQL are optional.
1 unified dialog where filter columns, rows or custom SQL are optional.
Users celebrate the improved experience
Despite beta implementation bugs, the majority found the overhauled experience easy to use with the new UI described as "clean", "very easy to understand", "easy to navigate", "incredibly fluid."
78% agreed with the statement, this product was easy to use.
“
In our current environment, there are a lot of high technical rules that are configured and every job must be setup and monitored by highly trained developers. The walk thru was simple and easy to understand and I feel like it will allow us to implement simple rules and refine them to be more complex (as needed) over time.
beta tester