Capabilities & workflow
From the first scheduled check to a staged correction: the eight steps of quality work in DATAshaper.
Platform
One platform for trusted enterprise data.
DATAshaper brings data quality, cleansing, integration and migration together. You decide where it runs, and which AI model is allowed near your business data.
Explore the platform.
How the work flows, what AI does today, and where the platform can run.
AI-assisted data management
AI suggests corrections for issues your rules found, and people decide. What is available today and what is planned, kept apart.
Deployment & sovereignty
On-premises, in your own cloud tenant or as a managed SaaS, combined with the LLM you choose.
Four solutions
Data quality, AI readiness, integration and migration, and master data governance, all on the same foundation.
What the platform does today.
Every capability on this page is in the product now. Planned work is labelled as planned, wherever it appears.
Configurable quality rules
Define what good data means for each dataset, entity and domain.
Scheduled checks and scores
Recurring checks produce a quality score overall and per dataset, with trends and dashboards.
Issue workflow in Studio
Assign issues to named business users, who investigate, comment, edit and set statuses in DATAshaper Studio.
Staged corrections
Approved corrections go to separate staging tables. Your source systems stay untouched.
Structured migrations
Extract, map, transform, validate and migrate in repeatable workflows, proven in SAP and Microsoft Dynamics programs.
Multiple environments
Run development, test and production environments side by side in enterprise deployments.
One loop, from the first check to the next.
Quality work in DATAshaper always follows the same eight steps.
Monitor
Scheduled checks track quality scores over time.
Detect
Your rules flag every record that breaks them.
Assign
Each issue goes to its business owner.
Collaborate
Owners investigate, comment and edit in Studio.
Correct
By hand, or from an AI suggestion someone approves.
Stage
Approved corrections wait in a separate staging table.
Load
Your own process moves them into the target system.
Improve
The next check shows whether quality holds.
Proven in enterprise programs.
From acquisition to SAP operations in a single weekend.
Various projects ongoing since 2013
Making a global ERP migration predictable.
Rollout in progress
Building a data quality foundation for SAP S/4HANA.
Rules configured, measurements underway
Ready to take control of your data?
Whether you're preparing for AI, improving data quality or planning an ERP transformation, start with a conversation.
Talk to an expert
Bring a specific challenge and discuss it with someone who has solved it before. Book a time or send a message.
Book a demo
See the platform in a guided session, usually with representative sample data. Book a time or send a message.