A measurement result is complete only if it is accompanied by a quantitative expression of its uncertainty. The uncertainty is needed to judge whether the result is adequate for its intended purpose and whether it is consistent with other similar results.
Ferson, S., et al., L. 2007. Experimental Uncertainty Estimation and Statistics for Data Having Interval Uncertainty. SAND2007-0939. Albuquerque: Sandia National Laboratories.
Any measurement that you make, without any knowledge of the uncertainty, is meaningless.