Versatyle offers a fully Automated Data Cleansing/Data Migration solution, streamlining the process for organizations. This case study highlights how Versatyle’s approach using DataFlow simplifies data migration, making it especially valuable for companies with growth through mergers and acquisitions.
Challenges:
- Efficiently mapping data models from source to target systems.
- Simplifying data migration for ongoing mergers and acquisitions.
- Handling unstructured data, such as Word or PDF documents.
- Increasing data quality to higher standards
- Managing each data migration separately
Solutions:
- Automated Data Mapping: Versatyle maps data models from source and target systems using the Versatyle Common Data Model.
- Continuous Adoption: Especially beneficial for organizations growing through mergers and acquisitions. The initial mapping to the target system simplifies subsequent integration efforts.
- AI Document Categorization: Versatyle’s AI solution efficiently categorizes unstructured data in documents, reducing manual labor.
- AI-Data Cleansing: Versatyle’s tooling includes automated data cleansing services using leading AI-technologies.
- Iterative Learning: Each data migration builds on the knowledge, rules and mappings of previous migrations.
Results:
- Streamlined data migration process.
- Ongoing mergers and acquisitions become more efficient and require less effort.
- Quick integration of new acquisitions.
- Rapid categorization of unstructured data, saving time and effort.
- Improved overall data management and migration.
Key Takeaways: Versatyle’s Automated Data Cleansing/Data Migration solution offers significant advantages, especially for organizations with growth strategies that involve mergers and acquisitions. The process becomes more efficient and less labor-intensive, and even unstructured data is managed effectively.
If you’re interested in learning more about how Versatyle can support your acquisition strategy through Continuous Adoption, please contact us.
