Carve-out only works with experience


Carve-out only works with experience-blog banner
AvenDATA has been separating data from various systems within the scope of carve-outs for 15 years – mainly from SAP, Oracle, and Navision systems, but also from many others. The following is a summary of why experience is needed and what appropriate planning and preparation is like.

Why do you need experience for a carve-out?

A data carve-out is the process of removing data from an existing enterprise context to transfer it either to a stand-alone company or to a separate business unit. This process typically requires experience for several reasons:

Complexity of the data

Data carve-outs can be very complex, as they can involve different types of data, such as customer information, financial data, contracts, employee data and more. Experience helps to understand, classify, and handle the different types of data appropriately.

Legal and regulatory requirements

Carve-outs must consider various legal and regulatory requirements, depending on the industry and region. Experienced professionals can help identify and comply with these requirements to avoid legal issues or penalties.

Technical aspects

The technical implementation of a data carve-out requires experience in data migration, data integration, database management and IT infrastructure. It is important to apply the right tools and methods to ensure that data can be transferred correctly and used effectively in the new environment.

Project management and risk management

A data carve-out is often a complex project with many parties and stakeholders involved. Experienced project managers can efficiently manage the process, identify potential risks, and take appropriate action to ensure smooth execution.
Overall, a data carve-out requires extensive knowledge and experience to ensure the process runs smoothly, data is transferred correctly, and legal and technical requirements are met.

What is the process for a data carve-out?

A data carve-out can vary depending on the specific needs and circumstances of the organization, but it generally follows a similar process. Here is a rough outline of the typical process:

Planning and preparation

Data inventory and classification

Legal and regulatory review

Definition of the data migration

Implementation of the data migration

Verification and validation of the data

Completion and handover

It is important to note that a data carve-out is a complex process and requires close collaboration between various departments and stakeholders, including IT, legal, privacy, finance, and executive management. AvenDATA specializes in legacy system archiving, application and systems decommissioning, and carve-outs, setting new standards in terms of speed, cost efficiency, functionality, and reliability.
FAQ: Data Carve-Outs and the Importance of Experience and Planning
Experience is crucial for a successful data carve-out due to the complexity of the data involved, legal and regulatory requirements, technical aspects, and effective project and risk management.
The process for a data carve-out typically involves planning and preparation, data inventory and classification, legal and regulatory review, definition of data migration, implementation of data migration, verification and validation of the data, and completion and handover.

Planning and preparation involve defining goals, engaging relevant stakeholders, determining timelines and resources, identifying data sources, classifying data, and assessing data quality. This stage sets the foundation for a successful carve-out.

Legal and regulatory review ensures compliance with data protection laws, contractual obligations, and obtaining necessary approvals or consents for the carve-out.

Data migration involves defining the strategy for extracting, transforming, and transferring data to the new environment. Selecting appropriate tools, creating a migration plan, and considering security and data protection regulations are crucial in this stage.


Verification and validation processes are conducted to test the completeness, accuracy, consistency, integrity, and quality of the migrated data in the target environment.

The carve-out process is documented, and the migrated data is handed over to the standalone company or separate business unit. Post-carve-out operations are monitored and supported to ensure effective use of the data.