Information on how to do it. Integration with Data Warehouse or Database: To migrate to Google Analytics correctly, it is essential to understand your specific needs and requirements. Not all data is equally relevant to all companies. Once the parameters are defined, you must transfer your historical data from Google Universal to a database where you can store it safely. Keep in mind that Google Analytics does not allow direct interaction with your historical data, so you.
Can access it through any Business Intelligence usa b2c email list tool and relate it to your new GA measurements to get a complete view of your data. Understand the differences between Universal Analytics and Google Analytics It is important to understand the differences between Universal Analytics and GA. GA uses a completely new data structure that requires a different approach to data collection and analysis. Therefore, it is important to ensure that the data fits this new structure before migrating. Let’s see the most important differences: What is data verification? Another important step in data migration is verification. After migration, it is essential to verify that all data has been transferred correctly and can be effectively analyzed in GA. If problems are identified during verification, they must be addressed immediately.
To validate that historical data has been migrated correctly, it is recommended to replicate a report using a Business Intelligence tool and compare the results with those obtained in the traditional GA report. On the other hand, to verify if the GA configuration is in order, you should try to replicate GA reports in GA, emphasizing events, conversions, and in the case of an e-commerce, all sales and product metrics. With these measures, you can ensure a successful migration from GA to GA and continue to obtain valuable insights from your analytics data. Finally, it is important to establish a follow-up strategy after migration. This includes monitoring reports and metrics to.