Retail — Unified Customer Data Ingestion Pipeline

Overview

The Unified Customer Data Ingestion Pipeline is designed to automate the ingestion of data from ERP and CRM systems, providing a comprehensive view of customer interactions and transactions. The primary purpose of this DAG is to streamline data collection, ensuring that all relevant customer data is normalized and subjected to quality controls before being stored in a data warehouse for further analysis. The data sources include ERP transaction logs, CRM customer profiles, and sales records, whi

The Unified Customer Data Ingestion Pipeline is designed to automate the ingestion of data from ERP and CRM systems, providing a comprehensive view of customer interactions and transactions. The primary purpose of this DAG is to streamline data collection, ensuring that all relevant customer data is normalized and subjected to quality controls before being stored in a data warehouse for further analysis. The data sources include ERP transaction logs, CRM customer profiles, and sales records, which are ingested systematically to maintain data integrity. The ingestion pipeline consists of several key processing steps: first, data is extracted from the specified ERP and CRM systems. Next, the data undergoes a normalization process to ensure uniformity in format and structure. Following normalization, quality control measures are applied to identify and rectify any discrepancies or errors in the data. Once the data is validated, it is loaded into a centralized data warehouse for analytical purposes. This process is monitored closely, with key performance indicators (KPIs) such as ingestion time and error rates tracked to ensure optimal performance. In the event of a failure, the DAG is programmed to automatically retry the ingestion process while notifying the relevant teams for immediate action. The business value of this DAG lies in its ability to provide a unified view of customer data, enhancing decision-making and improving customer engagement strategies. By ensuring high-quality data ingestion, organizations can better comply with governance standards and optimize their operational workflows.

Part of the Governance & Compliance solution for the Retail industry.

Use cases

• Enhanced visibility of customer interactions across platforms
• Improved data quality leads to better decision-making
• Streamlined compliance with governance and regulatory standards
• Faster access to critical customer insights
• Reduced operational costs through automation