In this digital world, every company at some point of time has to go through a data migration process. System Changes, database change, modification in business processes and operations all lead to a single decision and that is to migrate data to a new platform to address requirements of today’s business.
Traditionally speaking, migration of data isn’t really a complicated process. But still, data migration specialists, even when following best practices, sometimes happen to go wrong. That’s due to the fact that they’re likely to go wrong in the same or similar areas. Want to know how?
Here are some reasons to support it-
At the beginning of a data migration process, troubles arise as representatives don’t pay enough attention to the importance of data migration projects. And that’s due to the fact that most of them simply consider it as one of the many routine tasks which IT employees should be able to pass through without any professional help. Unfortunately, this assumption of them is totally wrong. Data migration isn’t just a matter of IT; it’s a process which involves almost every employee across the organization. Therefore it requires engagement not only from IT, but also from experts from other departments, data users, etc…. to complete the process quickly and efficiently.
When it comes to data migration it is extremely important not to underestimate the cost of data migration. Remember, looking for savings at this stage can prove suicidal- especially for businesses which are data intensive.
In data migration projects, keeping data quality at highest level is critical. Unfortunately, it doesn’t happen in many organizations. In most of them, data quality is getting lower and lower in proportion to time which passes since the previous migration or data cleansing. In fact, proper data management strategies and regular data cleansing are the best methods for keeping data quality at stipulated levels. The level which, in time of migration, minimizes a number of things that have to be done to prepare data to transfer.
Coming to the concerns which arise during data migration, first and foremost is the implementation of wrong migration strategy. People who are involved in migration projects have to know very well all steps of data migration and should know what’s next. If the strategy is incomplete or even worse it has not been prepared at all; it indicates that we are inviting trouble for ourselves. Additionally, there is tendency to choose big bang migrations among data migration professionals. Many specialists say on the other hand that choosing trickle migrations instead, is better than big bang migrations, even though the former lasts longer.
At this juncture, using wrong tools for data migration can put the whole project migration in jeopardy. But the fact is that managers from different organizations don’t really pay attention to tools designated to support data transfer. In many cases, the only tool used for data migration is the ones which the company already owns. They’re not designed to real data migration; they’re often made to support totally different uses. Purchasing new tools for data migration isn’t what many organizations consider right and that is where a lot of troubles start to emerge.
Team cooperation and coordination is also crucial in data migration process. That’s because when two different teams have their own strategies of migration and follow different methodologies, it’s almost impossible to say that everything goes the way it should.
Detailed planning acts as a secret to successful migration. But the worst part is that during migrations it’s better if we do not stick to single plan with changing situation. Sometimes it is a must to introduce some changes and improvements when the work is in progress. Good practice in data migration is to be flexible even though the migration plan is something what shouldn’t be completely ignored.
Now, let us suppose that data migration has completed. One of the worst things that happen after migration is realizing that it wasn’t needed at all. Or what is even more embarrassing is when we realize that the decision to go for a migration was taken very late. As the world of technology is changing too swiftly, waiting too long between fixing migration plan and performing migration makes the presumptions out-of-dated.
In the last step of data migration, validation of results occupies a very important place. It must not only be done by the ones directly responsible for the process, but real users of migrated data should confirm on the latest.
Note- The ones listed above are the most common problems which actually don’t have to lead to serious “disasters”. It depends on the situation, sometimes data migration is as easy as possible and whatever one does, migration won’t fail. However, it’s much more often that a single negligence lengthens the migration and increases its cost which wasn’t necessary nor suggested from any point of view.
To avoid any such troubles its better to go for professional help. DNF Professional Services team is available to help migrate your data from one environment to another in the shortest amount of time. A highly qualified consulting engineer will guide your organization through the migration process with the least amount of disruption to your end users and your overall business environment.
Since, each migration is unique it requires a comprehensive migration plan. The fundamentals to consider include available migration strategies, migration issues, migration methodology and the critical data involved. DNF RADIM methodology uses the best industry practices for risk mitigation and data integrity – before, during, and after the migration
For more details click on the link of data migration to go to the said company web page.