Batch Processing Component

Batch Processing is a key component in maintaining the integrity and cleanliness of master data. It plays a vital role in monitoring and managing the processing of large data volumes. This functionality is essential for keeping master data up-to-date and ensuring high data quality.

Integral to Batch Processing is the Data Quality Processing Console (DQPC), a user-friendly interface that works in conjunction with the MDM Workbench. The DQPC empowers users to perform offline data cleansing and manage suspect duplicates in existing party data. Its operations are critical in maintaining the accuracy and consistency of master data.

Key Operations of the DQPC include:

• Standardization: This involves the normalization of names, addresses, and contact methods, ensuring uniformity and consistency across data entries.
• Synchronization with Matching Engine: The DQPC synchronizes party matching data with the probabilistic matching engine of the Open Cloud MDM Server, enhancing the accuracy of data matching processes.
• Duplicate Processing: Users can process suspect duplicates for selected party records, aiding in the identification and resolution of potential data duplicities.
• Progress Monitoring: It provides real-time visibility into the progress of offline processing activities, initiated through the Evergreen Console.

This batch processing capability is critical for organizations managing large volumes of data, ensuring that data remains clean, consistent, and up-to-date. The DQPC is a powerful tool, enabling efficient data quality management in an offline environment, complementing the overall functionality of the Open Cloud MDM system.