Here are some ideas for detecting data gaps in batch processing between AEP and CJA:
1. Select which data should be sent between AEP and CJA. Specific tables, columns, or records may be included.
2. Create a monitoring system to follow the data flow between AEP and CJA. This might be a cloud-based monitoring tool, a custom-built solution, or a combination of the two.
3. Configure the monitoring solution to send alerts when data gaps are found. The notifications should be delivered to the right stakeholders, such as IT administrators, data analysts, or business users.
4. Look into any data gaps that are discovered. This might include resolving batch processing operations, examining data in AEP and CJA, or contacting data providers.
By following these procedures, you can assist to guarantee that data gaps are identified and corrected as soon as possible, minimizing the impact on your organization.
Here are some more details regarding each step:
i. Identifying the information that should be sent between AEP and CJA. This is the initial step in creating data gap alerts. When determining the data that should travel between the two systems, it is critical to be as explicit as possible. You could wish to identify certain tables, columns, or records, for example.
ii. Developing a monitoring tool to follow the data flow between AEP and CJA. A variety of monitoring methods are available to follow the flow of data between AEP and CJA. Some of these solutions are cloud-based, while others are built from scratch. The optimum option for you will be determined by your unique demands and requirements.
iii. Setting up the monitoring solution to trigger warnings when data gaps are discovered. After deciding on a monitoring system, you must configure it to trigger alerts when data gaps are found. The notifications should be delivered to the right stakeholders, such as IT administrators, data analysts, or business users.
iv. Investigating any data gaps discovered. When a data gap is discovered, it is critical to explore the problem as soon as feasible. This might include resolving batch processing operations, examining data in AEP and CJA, or contacting data providers. By investigating data gaps as soon as possible, you may assist to reduce the impact on your organization.
