
Learn what makes the Data Stories module different from a raw BI export: every chart is anchored to a cataloged, profiled asset, inheriting lineage, classification, and a live DQ score automatically.
Learn to build a Collection - a named, shareable set of catalog items, business terms, DQ rules, and Visualizations - and configure its owner, purpose, and Public, Restricted, or Private access.
Build a Visualization inside a Collection: pick a catalog data source, choose a chart type (bar, line, scatter, pie, or table), map fields to axes and filters, and track changes through version history.
Build a DQ Metrics visualization sourced from a monitoring project instead of a catalog item, choose overall score, violation rate, trend, or distribution metrics, and read the resulting charts.
Assemble multiple visualizations, text blocks, and headings into a single Report using the layout editor, then share it by role or schedule automated PDF or link delivery on a recurring cadence.
See how catalog sensitivity labels automatically carry into visualizations, compare what masked versus full-access users see, apply a manual protection label, and locate protected views in the Data Access audit trail.
Governed data is only valuable if people can see and use it. Data Stories is Ataccama ONE's native reporting and visualisation layer - built on the governed assets in your catalog, not on a separate unvalidated export. Reports built in Data Stories inherit the governance, ownership, classification, and data quality scores of the underlying assets. Stakeholders can trust what they see.
This course teaches you how to build those reports. You will learn how to organise governed assets into collections, create visualizations - charts, tables, scorecards - directly from catalog data, embed data quality metric scores so stakeholders can see quality alongside business metrics, assemble complete reports from multiple visualizations, share them with your organisation, and apply data protection rules so that sensitive assets are masked or excluded from shared views.
What you will build by the end of this course:
- A collection of governed catalog assets organised for reporting
- Charts and tables built directly from governed data
- A DQ metrics scorecard embedded in a Data Story
- A published, shareable Data Story report
- Data protection rules applied to sensitive assets in your Story
Prerequisites: UDY01 and UDY02.
What to take next: UDY04 (Data Stewardship in Practice) to add governance workflows on top of the catalog you are now reporting on.