Defense & Aerospace — Multi-Source Data Ingestion Pipeline for Supply/Demand Forecasting

Overview

The primary purpose of this DAG is to streamline the ingestion of data from multiple sources, including Enterprise Resource Planning (ERP) systems, Customer Relationship Management (CRM) platforms, and Internet of Things (IoT) devices. This multi-source approach allows for a holistic view of supply and demand dynamics within the Defense & Aerospace industry. The ingestion pipeline begins with extracting data from the specified sources, followed by normalization processes to ensure consistency an

The primary purpose of this DAG is to streamline the ingestion of data from multiple sources, including Enterprise Resource Planning (ERP) systems, Customer Relationship Management (CRM) platforms, and Internet of Things (IoT) devices. This multi-source approach allows for a holistic view of supply and demand dynamics within the Defense & Aerospace industry. The ingestion pipeline begins with extracting data from the specified sources, followed by normalization processes to ensure consistency and compatibility. Once normalized, the data is stored in a centralized data warehouse, which serves as a single source of truth for subsequent analysis. Quality controls are implemented throughout the pipeline to validate data integrity and accuracy, ensuring that only reliable information is utilized for forecasting. The processed data is then exposed via a robust API, enabling seamless access for analytical tools and decision-making systems. Key performance indicators (KPIs) such as data latency and volume ingested are monitored to assess the efficiency of the pipeline. This DAG ultimately delivers significant business value by enhancing forecasting accuracy, improving inventory management, and enabling proactive decision-making based on real-time data insights.

Part of the Supply/Demand Forecast solution for the Defense & Aerospace industry.

Use cases

• Enhances forecasting accuracy for supply and demand.
• Improves inventory management and resource allocation.
• Facilitates proactive decision-making with real-time insights.
• Increases operational efficiency through automated processes.
• Supports compliance with industry regulations and standards.