Data lineage & impact analysis
Dataventra Impact
Know what breaks before you change it.
Impact maps every dependency from source system to report, so you can see exactly which tables, views, datasets and reports are affected when a table, column or pipeline changes.
Proposed change
Column CustomerSegment renamed → SegmentCode
- Views
- 2
- Datasets
- 2
- Reports
- 3
Impacted objects
- View: vw_CustomerRevenue
- View: vw_SegmentMargin
- Dataset: Sales Performance
- Dataset: Customer 360
- Report: Regional Sales
- Report: Segment Margin
- Report: Account Review
- Changed object
- Impacted downstream
- Not affected
Owners to notify: Finance BI, Sales Operations
The problem
A column is renamed in the warehouse. Two days later, finance asks why a board report is blank. Nobody knew they were connected.
Questions Impact answers
- If we change dw.DimCustomer, which Power BI reports are affected?
- Which source systems ultimately feed this executive dashboard?
- Which staging tables have no downstream consumers and can be retired?
- Who needs to sign off before this migration goes live?
Capabilities
What Impact does
- 01
End-to-end lineage
Source systems → source tables → staging → warehouse → views → datasets → reports, mapped as one connected graph.
- 02
Downstream impact analysis
Select any table, column or pipeline and see every downstream object and business asset it feeds.
- 03
Change risk before deployment
Review the blast radius of a schema change during design, not after a failed refresh.
- 04
Ownership & accountability
Attach owners to reports and datasets so the right people are informed when an upstream object changes.
Other Dataventra solutions
See Impact against your own environment.
We'll walk through how it maps to your systems, what setup involves and what you'd see in the first weeks.