On matching techniques and problems

In Kanal (1993), the following figure is shown to present the various techniques used for various aspects of pattern recognition. It is suggested that we may look at the sceanario as a "bag of tools for a bag of problems".

My point is we really need to see what is the limiting factor here - if data is the limiting factor then using fancier technique would not help - and therefore more than one technique is sufficient.*
If we do not observed an entire cycle of the process then we cannot expect the fancier techniques to help. The problem really does boil down to knowing if we are observing at the right temporal scale.

Another diagram in the paper which is of relevance (and is presented wrt a case study)


*it is difficult to see how can one argue against the other techniques if they have not even been applied (specially since all these papers argue that each technique and each problem need to be matched; there are no general solutions for all complex problems). however, i wonder what would be use the use of the above arguement if all techniques are applied to test its validity.