Complexity and Simplicity

In an analytics field or any other field, there is always a problem. A particular thing that you want to achieve. May be you want your sales to rise by 50% or exactly 2.5% or you may want to build a house on an ocean! Daunting as it looks, but that is the nature of the problem.

How do you go on solving it? I mean any problem or analysis? How do you do it? Obviously, you have to design a solution. I take solution as a design that has the potential to solve a problem. When you start designing for a solution, you start by constructing a structure of a foundation on which you are going to build your reasoning. Your whole reasoning will be based upon that foundation, that structure. If it is stable then your analysis or the whole system is stable otherwise, it will fall and that is inevitable.

Also, remember that the solution that you provide is going to be valid only for that particular problem and not other, because as soon as the situation changes so does the validity of you solution. Remember it.

It was the other night that I had a discussion with my friend on the complexity and the simplicity of a design or a solution. We both came to a conclusion that a particular design is the special purpose system and NOT general purpose.

Also, in case of the level of the complexity and simplicity. The more complex is the system the more rigid it becomes and won't be able to handle the small disturbance. But when the system is simple then, it has a capability to grow and has more flexibility in it.

But, this is not a proof that the solution must always be simple, what is the conclusion is that the analyst or a designer must have this in his mind that complexity has an inbuilt error of approximation which must be considered. The complex mathematical solutions are based mainly upon the mathematical reality which may not be always true which imposing it in the physical model.