Data migration can be daunting, but it doesn’t have to be. According to Gartner, 83 percent of data migration projects fail or exceed budgets and schedules. The most difficult part of moving to a new system, or auditing an existing one, is getting the data right.
You don’t have to fall into that trap. Be part of the 17 percent that succeed by avoiding the most common challenges. With the right approach, you can reduce problems, control costs, and complete your project on time.
For more detail, see this Gartner overview on data migration.
Why Data Migration Projects Are Challenging
Data migration is complex because it requires significant time, effort, and resources. Moving information from one system to another is not as simple as copying files. The data must be reviewed, converted, and reformatted before it can be used in the new system. Without proper planning, errors are easy to make.
5 Data Migration Mistakes to Avoid
Here are five of the most common issues during a data migration project and how you can avoid them.
1. Not Sourcing and Cleansing the Data
It is easy to assume your information is ready to migrate. However, duplications, spelling errors, and incomplete records are often hidden in the source system.
The best way to prevent this is to conduct a full data cleansing audit. By reviewing and correcting the data before the migration, you reduce risks and make the transition much smoother.
2. Unclear Requirements and Poor Planning
One of the biggest challenges in migration projects is unclear requirements. When planning is rushed, misunderstandings can develop between the technical team and business stakeholders.
Create a detailed requirements document that includes:
The data to be migrated
Data mapping and quality standards
Project timeline and responsibilities
Planning in collaboration with stakeholders ensures expectations are clear from the start.
3. Incompatibility Between Systems
Incompatibility happens when the source and target systems use different database structures or file formats. Moving from one platform to another without preparation can lead to corrupted or lost data.
To avoid this, always back up your information before starting the migration. Keep the original source intact until the new system is tested and validated.
4. Lack of Expertise
Successful data migration requires a wide set of skills and tools. If your team lacks the necessary expertise, the chances of failure increase.
Consider partnering with a professional migration service provider. A qualified partner brings proven methods, tools, and experience to reduce risks and improve outcomes.
5. Not Testing and Validating
Testing is often treated as an afterthought, but it should be a key part of the migration plan. Problems are inevitable, so testing needs to happen throughout the project, not just at the end.
Define who is responsible for testing and validating the results. After migration is complete, continue testing and hold follow-up meetings with stakeholders to review issues, lessons learned, and next steps.
Conclusion
Data migration may be complex, but with the right preparation it can be done smoothly and successfully. By cleansing your data, setting clear requirements, ensuring system compatibility, engaging the right expertise, and testing thoroughly, you can avoid common pitfalls and join the 17 percent of projects that succeed.
Summary
Data migration issues are complex, time-consuming and can be detrimental. We are here to help you avoid these mistakes and complete your data migrations faster, more accurately and at lower costs. Contact us to get started.
