We as a community often focus a large portion of our attention towards collection without giving analysis the forethought it deserves. I've seen lots of instances where all kinds of data is being collected, and in some cases, it's overwhelming. During the process of instrumenting the network to collect this data, how to make the best use of all the data being collected was never discussed or considered. The output of that is an unstructured, disorganized set of data that is difficult to turn into the organized, well structured data required for quality analysis.
We mustn't forget the other half of the equation: analysis. I think if we as a community thought more about what we wanted to do analytically before we instrumented our networks, we would save ourselves a lot of pain down the line. Perhaps we will improve in this area in the coming years.
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