7 important feature for good control system in management

7 important feature for good control system in management are as follows:

1. Control is a principle of economy:

The less effort needed to gain control, the better the control design. The fewer controls needed the more effective they will be. Indeed, adding more controls does not- give better control. All it does it create confusion.

2. Controls must be meaningful:

That means that the events to be measured must be significant either in themselves e.g. market standing, or they must be symptoms of at least potentially significant developments, e.g. a sudden sharp rise in labour turnover or absenteeism.

3. Controls have to be appropriate to the character and a nature of the phenomena measured:

This may well be the most important specification; yet it is least observed in the actual design of controls: Because controls have such an impact it is not only important that we select the right ones. To enable controls to give right vision and to become the ground effective action, the measurement must also be true form. Formal validity is not enough.

4. Measurement has to be congruent with the events measured:

It is up to the manager to think through what kind of measurement is congruent to the phenomenon it is meant to measure. He has to know when ‘approximate’ is more accurate than a firm-looking figures worked out in great detail.

He has to know when a range is more accurate than even an approximate single figure. He has to know that ‘larger’ and ‘smaller’ earlier’ and ‘later’ ‘up’ and ‘down’ are quantitative terms and often more accurate, indeed more rigorous, than any specific figures or range of figures.

5. Controls have to be timely:

The time dimension of controls is very similar to their congruence. Again frequent measurements and’ very rapid ‘reporting back’ do not necessarily give better control. Indeed they may frustrate control. The time dimension of controls has to correspond to the time span of the even measured.

6. Controls need to be simple:

Complicated controls do not work. They confuse. They misdirect from what is to be controlled toward attention on the mechanics and methodology of the control. But if the user has to know how the control works before he can apply it. He has no control at all. And if he has to sit down and figure out what a measurement means, he has no control either.

7. Finally, Controls must be operational:

They must be focused on action. Action rather than information is their purpose. The action may be only study and analysis. In other words, a measurement may say, ‘what goes on we don’t understand; but something goes on that needs to be understood. But it should never just say, here is something you might find interesting.