The document discusses how to prevent "analysis paralysis" when dealing with large amounts of online analytics data. It provides tips for segmentation, focusing on key metrics, testing and learning, integration, and ensuring the right team and processes are in place. Some specific recommendations include focusing on fewer key metrics, creating a testing calendar, automating where possible, filtering out non-consumer traffic, using granular targets, and making analytics a priority with consensus metrics and action plans.