Change analysis
Review proposed changes in fields, structures, and mappings before implementation starts so rollout work begins with fewer unknowns.
Analytical workspace for change management
Konturo
See what a change will affect before you make it.
A workspace for analyzing data model changes, field impact, and mapping decisions before rollout work starts.
Konturo helps delivery and support teams review field impact, compare definitions, and understand mapping drift without adopting a heavy governance platform. Strong fit for SAP-heavy and integration-heavy environments, but not limited to SAP.
Internal link
Strong fit for SAP-heavy teams
Use Konturo for SAP-centered implementation and support work, then connect it to the SAP hub when source structures, mappings, or rollout deltas need closer review.
Enterprise
Built for delivery and support teams
Position Konturo alongside enterprise integration and systems engineering work where teams need shared visibility into model changes, mappings, and rollout risk.
Four pillars
What Konturo is built to help teams review
Field impact visibility
See where a field is reused across objects, domains, and transformation logic before a rename, type change, or support fix lands downstream.
Model comparison
Compare local working definitions against source or reference definitions and highlight drift before retrofit or rollout work starts.
Decision support
Keep review notes, mapping decisions, exceptions, and change rationale visible in one operational workspace.
Demo
Walk through the core change-analysis workflow
These screens show the main thread: review model changes, trace field impact, compare definitions, inspect mappings, and reduce uncertainty before rollout work starts.
Workflow walkthrough
Change review workspace
Start from one analytical workspace for recent model changes, open review items, and the objects your team needs to inspect before rollout.
Questions Konturo Helps Answer
The product is focused on change work, not platform sprawl
Konturo is not positioned as a universal catalog, a process-heavy governance suite, or an AI automation layer. The core value is shared visibility for data model changes and mapping decisions before downstream issues appear.
- If we change this field, what else is affected?
- Where is this field reused, mapped, transformed, or overridden?
- Does our local model still match the source definition?
- What risks do we have before rollout or retrofit?
- What should be reviewed before we approve this change?
Early access
Tell us what change-analysis work your team handles
Use the intake below if your team deals with model changes, mapping drift, rollout analysis, or field-level support work and wants early access to the current product direction.