Data Management

Before data analytics, data needs to be connected to the TA system. The data management function module aims to help customers quickly access data, ensure data quality and prepare data before analysis. The data management module includes the following:

I. Metadata Management

• Metadata management manages project metadata information, including meta events, event attributes, and user feature management
• Virtual events can make up a virtual event from several events with similar meanings. If any meta-event in a virtual event is triggered, it is considered that the virtual event is triggered.
• Dimension table attributes and virtual attributes are created based on reported event attributes and user attributes, which can greatly expand data usage.

II. Data Integration

• Data Transmission Service focuses on the data access methods supported by the TA, provides access configuration for third-party data, and quickly connects your data to the TA system.

III. Buried Point Management

• Event tracking scheme and data acceptance create event tracking scheme and set data processing rules based on event tracking scheme. After reporting data, you can check and accept your reported data and obtain data quality reports.
• Reporting statistics and real-time data real-time display of reported data details, including real-time warehousing and error data statistics, to support event-by-event view of statistical results and error causes.
• Debug mode is convenient for developers to debug code and is only used for data verification during the integration phase.