We introduce data virtualization as a possible solution to solve technological and content challenges with mixed IT landscapes.

We illustrate which efforts and cost traps can result from data redundancy and how data virtualization can help.

This part discusses time pressure and possible capacity bottlenecks that can arise when implementing new requirements.