Processes for Managing Evaluations
- Create Process
Create an evaluation process for immediate evaluation of data quality rules.
- Schedule
Schedule jobs to create and run evaluation processes. You can use this, for example, to schedule weekly evaluations.
- Delete Results
Delete the results of an evaluation process to free storage space. The data quality scores of the evaluation will still be available.
- Delete
Delete an evaluation process. This also deletes the evaluation results and data quality scores.
Note
Data quality evaluation uses the same process framework as consolidation and mass processing.
Data quality evaluation applies all rules to the active data in the system.
The results of the evaluation are stored for later analysis.
Schedule Evaluations
- Scheduling Options
Date and time of start
Recurrence patterns (For example, daily, weekly, and so on)
- Parameters
Description of the evaluation
Process template, including evaluation parameters
Creation and Configuration of Evaluations
Facts about the creation and configuration of evaluations:
- General
Step type Evaluation (EVA) with adapter Master Data Quality Rule Evaluation is used.
Selection of prepared configurations (here: Evaluate with Scores) and/or using manual settings.
- Evaluation Configuration
Set the Provide Scores for Dimensions indicator to include the evaluation in the score calculation for data quality dimensions and dimension categories.
- Previous Evaluations
Delete Results – Set this indicator to remove the results of previous evaluations.
Delete Scores – Set this indicator to remove the scores for data quality dimensions of previous evaluations.
- Customizing Implementation Guide
Transaction MDCIMG→Configure Evaluation
Note
Parallelization
Prefix for Queue Name together with configuration of bgRFC allows parallel execution, load balancing, and load management.
Use and see transaction SBGRFCCONF and the respective section in the SAP Help Portal.
Evaluation Step: Results
The figure shows a result of the evaluation step. Further explanations:
- Usage
Monitoring of the evaluation process
- Step Messages
Contain errors and warnings during the execution of the evaluation (not errors in data)
- Evaluation Results
Number of rule evaluations with outcome OK and with Not OK
Chart with distribution across the evaluated tables
Note
