Data migration is not an easy task for businesses and errors made during the migration process can result in unexpected costs, downtime and data loss. The latter problem is one of the most serious, as data is increasingly important for companies. Therefore, it is essential that you protect yourself during the data migration process and that you know what you are doing so you do not take unnecessary risks. In today’s article, we present you infallible tips for safe data migration!
It is essential that you assess whether data migration is really necessary and what impacts this migration will have on the company structure. Before you take action, you should plan all steps of the migration, assessing the pros and cons of the migration. Only when you are really sure that migration is needed can you get started.
There is no need to migrate data that has no use. So before migrating your data you should do a cleanup in order to eliminate those that are no longer good for anything. Delete useless data and duplicated data so that the end result of the migration is as effective as possible.
The business rules of the company change over time and it is very likely that the rules in force are very different from those in force at the time the processes were created. Now is the ideal time to make sure that business rules are up to date. Determine if there are data fields that need to be changed and ensure that all changes are included in the new databases.
The tasks performed manually take much longer than those that can be performed by software, and this is one of the main advantages of automating processes for companies. An automated system will allow a given task to be scheduled once and from that time it will be repeated accurately and effectively, consuming less time and eliminating the likelihood of error. When processes are automated, employees become more productive and this is very good for the company’s finances. The automation of the processes contributes to the reduction of losses and optimizes the production. A good example is that automated systems are thought to save energy when they are not producing.
After migration and deployment of new applications, adjustments, optimization, and other improvements may be required. You should be prepared to handle post-deployment issues quickly and with the right resources. When you cannot solve the problems in the post-deployment, the whole migration is compromised.