So, to migrate or not to migrate. You might not have a choice, but at a minimum you need to know where you stand:
Begin with a clear and honest answer to the question:
Consider whether or not, when you finish the migration, you expect to have: more capabilities, better performance, higher availability, less complexity, tighter integration, smoother workflows, easier manageability, and/or lower price. How many can you answer affirmatively?
If sticker price is the sole motivation, then germany rcs data probably not many. Maybe just the one. When management is confronted with the adverse impact to the environment and to the users, even at this level of granularity, they may reconsider their mandate and look for a more beneficial alternative.
The point of evaluating these factors is to ensure that the true cost (or benefit) of the migration is considered before starting down that path. Invoice price might be the most obvious and easiest to calculate, but it is not the most important and is not, in general, the most significant. Unfortunately, most other factors are ignored in the decision-making process. Then they have the nerve to wonder why their company isn’t producing data and analytics innovations or business value very fast.
A migration project is like a time-out from business value delivery; a pit stop where parts are swapped out with the expectation of better subsequent performance.
Everybody will be very busy, but no incremental business benefit will be generated. To recoup the cost of the migration, business benefit generation must accelerate when the migration is finished. If you answered “no” to more than a couple of the factors above, then you are not likely to recoup the migration cost.