TRINIDAT-WIKI
Data migration without downtime or data loss
Don't be afraid of the system change
According to last year’s Lünendonk study, 62 percent of companies in Germany run business-critical applications that are so outdated in parts that they no longer meet today’s requirements and need to be replaced.
It is therefore not surprising that many companies are currently planning to change their software or intend to do so in the near future. But caution is advised! Migrating data, for example from ERP or CRM systems, is a particularly critical step when introducing new software. When replacing old systems, all data must be transferred correctly and securely while maintaining ongoing operations without downtime. This is where many modernization projects fail.
The risks are considerable. Errors in data migration lead to system failures, inconsistent data, and, in the worst case, the complete loss of business-critical information. In the worst case, this not only costs a lot of money and time, but also massively jeopardizes user acceptance of a new business application. In other words, employees become frustrated.
The good news is that with the right strategy, data migration can be carried out securely and without the risk of failure.
Why data migrations often fail
Data structures that have grown over many years encounter modern software architectures. When switching from legacy software to a new application, the risks of data migration are often underestimated.
Typical risks associated with data migration:
- Data inconsistencies, as old systems store and process data differently than modern applications
- Downtime when business-critical systems are unavailable during migration
- Data loss or overwriting due to a lack of verification and backup mechanisms
- Incorrect data records, for example due to manual or untested data transfers
Data migration with standard software carries risks
Many companies switch from one standard software package to the next. However, standard solutions are usually not designed for complex or individual data migrations. Different data models, program or business logic can only be mapped to a limited extent.
The situation is completely different with custom software: here, the necessary data migration can be planned from the outset and tailored precisely to the existing system landscape.
At trinidat, we have developed a proven process that migrates data securely to new systems and virtually eliminates the risks associated with a system change.
Smooth data migration instead of chaotic changeover
Our software designers and developers deliberately opt for smooth data migration rather than a big bang approach in many projects. This approach has proven particularly successful when replacing older applications, such as Access databases, with modern web solutions.
Smooth data migration involves migrating data in stages.
This minimizes the risks associated with a complete changeover. While the first data records are being transferred, the old and new applications run in parallel. This prevents downtime and data loss. At the same time, data quality is continuously checked and early intervention is possible in the event of transfer errors.
This is how we approach data migration
In many cases, trinidat takes over the replacement of old Access applications, including their conversion into modern web applications. We typically migrate the data in the following steps:
- Conversion of existing data to the SQL server.
- Modular modernization or redevelopment of the application
- Development of customized programs for data transfer
- Combination of automated migration and targeted manual follow-up maintenance, in consultation with the customer.
Result: Full control over data migration while day-to-day business continues.
The success factors of secure data migration
Plan data migration carefully
Analyze data structures and data sources and prioritize business-critical data. In other words: identify the most important data and decide which data should be transferred, cleaned up, or archived.
Check and validate
During gradual data migration, data records can be checked specifically. This allows errors and inconsistencies to be detected in good time.
Use automated testing
Modular modernization allows for automated and manual testing with realistic data volumes. This enables problems to be quickly identified and fixed. This serves to safeguard the live operation of old and new software in the company.
Data migrated, software project mastered
Professional data migration is crucial to the success of a software project. Companies that plan early, migrate step by step, and rely on customized solutions avoid downtime, data loss, and acceptance problems.
trinidat supports you as an experienced partner for customized software development and secure data migration—from analysis to stable operation.
FAQ about data migration
What is data migration?
Data migration refers to the transfer of data from an old system to a new system, including the adaptation of data formats, structures, and logic.
How long does data migration take?
The duration of a data migration depends heavily on the amount of data, data quality, number of source systems, and the chosen strategy. A step-by-step migration often takes longer, but is significantly more secure.
What are the biggest risks involved in data migration?
The biggest risks include data loss, corrupted data, system failures, and insufficiently tested migrations.
How can data loss be avoided during data migration?
Data loss can be reliably prevented through automated validations, test runs with realistic data, backups, and migration in stages.
Is data migration possible with standard software?
For simple scenarios, yes. For complex or individual data structures, standard software quickly reaches its limits. This is where custom software has a clear advantage.
When should you have a customized data migration developed?
Whenever legacy systems, multiple data sources, or high availability and security requirements are involved.