Filtered Google Analytics 4 (GA4) service can bring many benefits compared to working with raw data. Although raw data may be useful in certain cases, filtering data in GA4 can provide a more cohesive, accurate and useful picture of the website’s or application’s activity.
Here are several reasons why filtered GA4 service might be better than working with raw data:
1. **Elimination of noise:** Filtering data allows for the elimination of noise and unwanted traffic from analytical reports. For example, you can exclude traffic generated by bots, developer tests, and even internal company IP addresses, leading to more precise data and better performance analysis.
2. **Improvement of data quality:** Data filtering allows for the removal of incorrect data, duplicates, fake clicks, and other inaccuracies that may affect the accuracy of reports. This way you can be sure that your data is more reliable and accurate.
3. **Privacy protection:** Filtering data can help protect user privacy by eliminating sensitive personal data from analytical reports. For example, filters can be applied to exclude IP addresses, email addresses or other identifying information.
4. **Customizing reports:** Data filtering allows for customizing analytical reports according to specific business needs. Filters can cover only certain segments of users, traffic from specific geographic locations or sources, enabling more precise analysis and understanding of user behavior.
5. **Performance optimization:** Filtering data can help optimize the performance of an analytical platform by reducing the amount of processed data and ensuring faster access to reports. Eliminating unnecessary data also helps reduce server load and increase system performance.
6. **Simplifying reporting:** Data filtering can simplify reporting and analysis, by limiting the number of processed data and including only those information that are significant for specific goals and performance indicators.
In summary, filtered GA4 service may be better than working with raw data due to noise elimination, data quality improvement, privacy protection, report customization, performance optimization and simplified reporting. Thanks to filtering data you can get more reliable, accurate and useful information for making business decisions and optimizing online activities.
