Lets quickly look at a situation where there is no variance:
- Great quality
- Great performance
- Great predictability
- Very stable and capable process
The downside of zero variance is:
- No mistakes - so no learning from mistakes
- No improvement possibility (in terms of knowledge)
- No growth path beyond what has been achieved
This will in-turn create more visions for the organization, based on which the organization can go on a mission with the enhanced value.
Variance control should not be an overdrive as it would kill a lot of necessary aspects of the DNA of an organization.
This big picture on the value of variance is a must have view for all professionals. This is the basic intent of ensuring that variance must exist.
Yes, it cannot be beyond a certain limit and that is what the data analysts should be able to determine - keeping the intent of variance very much alive.