DataFinder provides you with metric management capabilities, allowing you to create commonly used analytical metrics into solidified metrics in a unified page, making it easy for you to directly choose among multiple analytical tools, improving analysis efficiency and reducing data management costs. This article provides you with a guide to the use of metrics management.

As data access to growth analysis platforms becomes more abundant, and the metrics we create in analytical models such as event analysis become more and more complex, we may find that it takes longer and longer to configure metrics, and multiple reconfigurations are required for similar scenarios; or the metrics used in communication with the business are inconsistent, resulting in a gradual increase in communication costs.
Index management is used to solve the problems of index reuse and uniform caliber. In the unified management interface, you can view the existing metric list and corresponding metric definitions, and complete management operations such as creation, editing, and deletion in a unified manner, thus ensuring that the definition and consumption of the same metric are consistent across all ends.

Metric creation #

1. Create the metric entry. There are currently two operating entrances:
   • Data management - Metadata management - Metrics - New metric.
     
   • Each advanced analysis page, metric selection drop-down box - save the metric
     
2. Select the metric type and configure the metric parameters in the popup box.
   Currently supports new event metrics, event combination metrics, retention metrics, Session metrics, and conversion metrics. The calculation conditions of the index creation are consistent with each analysis module, which can be found in the instructions for each analysis module.
   

Index management #

For the created metrics, you can copy, synchronize, edit, delete, add labels (classification) and other management operations.

• Replication: Supports the quick creation of new metrics based on created metrics through replication operations. After clicking Copy, you only need to configure the metric name, display name and other parameters in the pop-up page. The metric calculation conditions are consistent with the copied metrics by default, which can improve the configuration efficiency.
• Edit: Support for modifying names, display names, meanings, permissions, and calculation conditions. After the metric is edited, it will take effect globally, and all charts to which the metric has been applied will be affected.
• Delete: All charts that have been applied to this metric will not display properly, please delete with caution.
• Classification: When there are too many metrics, consider classifying the metrics through "labels".

Usage metrics #

The created metrics can be directly selected in the corresponding analysis model.

If you open Base analysis, you can more conveniently achieve cross-analysis model analysis, that is, multiple analysis model metrics in the same chart, while grouping and filtering operations.

Q1. Why are some of the saved metrics not used in the analytical model?
The metric does not support nesting. Please check whether the currently invisible metric contains the saved metric, and then it can be used normally in the analysis model after removal.