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Injecting Historical Data In Adobe Analytics

Published on by QA2L on
Data collection anomalies happen and they can take a variety of shapes—from not collecting any data, through collecting spotty data, to over-counting data. Data analytics solutions downstream of such problems have developed various damage control measures. Adobe's Virtual Report Suites unlock valuable capabilities for "cleaning up" processed data, but in many cases there is no data to clean up! In this post we'll address the specific issue of lapses in data collection and present three different techniques for backfilling historical data in Adobe Analytics.


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