Author name: Manish Maid

One of the major reasons behind Data migration failure is not running enough tests. It mostly happens when we underestimate the importance of running frequent tests. Even after migrating all the records, the migration could fail if we haven’t run regular tests.

We all assume that the data in our source system is perfect and ready to migrate. However, sooner or later we do realize that it’s not the case. New systems have new rules and the legacy data may be violated with the intrusion of source data.

Is data migration a simple copying process? Most of us have this misconception about migration. Unfortunately, it’s way more complex than one initially imagined and it’s not as easy as just copying data from one live system to another.

In our last blog, we discussed the importance of involving the stakeholders at an early stage. Your business people are the ones who truly understand your data. They are the experts. So, it is better to leave it to them to decide which data needs to be transferred and which ones need not.

Should migration be a separate project? Before we find out the truth, let’s quickly get rid of the three most common misconceptions in data migration to avoid mistakes that could lead to data migration disasters.