Resources
Learn from real data programs.
Customer video, product recordings and articles on data quality, migration and AI readiness. We publish material when it is ready, so the library starts small.
Customer video: mateco IT.
Sean Hauge on rolling out one global ERP across dozens of countries with DATAshaper.
Read the mateco storyProduct videos.
How a migration runs in DATAshaper, step by step: an illustrative move from ServiceNow to Microsoft Dynamics.
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From ServiceNow to Microsoft Dynamics
An illustrative service-management migration: incidents, companies, users and knowledge articles move from ServiceNow to Microsoft Dynamics.
- Intro: An illustrative service-management migration: incidents, companies, users and knowledge articles move from ServiceNow to Microsoft Dynamics.
- Extract: Data is pulled from ServiceNow into one controlled workspace. The source system is left untouched.
- Map: Source tables and fields are mapped to the target model: an incident becomes a case, a company becomes an account.
- Transform: Transformations turn ServiceNow codes and formats into what Dynamics expects, repeatably, for every cycle.
- Validate: Automated validations flag the records that would fail or harm the target, so they are fixed before load.
- Migrate: Load-ready data goes to the load process your program uses.
- Repeat: Test cycles and the final cutover run the same flow, so surprises surface early instead of at go-live.
Concept animation, not a screen recording. Short recordings of the real product will follow: the data quality dashboard, the path from detected issue to fix, AI-suggested corrections and a migration pipeline.
Insights are on their way.
Articles on data quality, migration and AI readiness will appear here. Until then, the quickest answer is a conversation with someone who has done the work.
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