Whoever works with analytics on a day-to-to-day basis knows how important it is to have a continuity with the data. Any slip might be fatal: data can disappear, trends misunderstood and jobs lost. Losing data can have long-lasting consequences, as very often it isn’t possible to reprocess the data—so what is lost cannot be recovered.

For this reason, it is essential to have a place where you can test changes to your settings and configurations. It is also important to keep track of changes in a way that they can be used to provide a context for analysts, so that when you are looking at incomprehensible spikes in past data, you can check whether any changes were made to the data collection methods (or if an offline campaign was in place during the period analyzed). Having such a process in place will help to keep data safe from loss and clean from inaccuracies.
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