My company gathers all sorts of series for page views, unique visitors and many other user data (collected by our web servers). As I see it, these sets of series are discrete since they are all collected by computer systems and software and there is no 'intermediate' value between the collected numbers. Also because of that I don't have a way to measure its 'estimation error'.
These series are compared monthly and my company moves forward according to the percentage increase/decrease in the values. But my managers never take in consideration its standard deviation nor its 'possible error'. The only statistical analysis they do is the percent variation between series.
What would be a sounder, proper way to analyses the monthly variation between each series? I aim to derive the 'real' variation in the number of visitors, page-views, etc.