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. Whoever works with analytics on a day-to-to-day basis knows how