Defense & Aerospace — Data Normalization and Quality Assurance Pipeline

Overview

The primary purpose of the Data Normalization and Quality Assurance Pipeline is to ensure the integrity and quality of data used in supply and demand forecasting within the Defense and Aerospace industry. The pipeline ingests data from various sources, including ERP systems, sensor data, and logistics databases. The ingestion process involves extracting raw data, followed by a series of transformation steps that include data normalization, validation checks, and quality assessments. Quality cont

The primary purpose of the Data Normalization and Quality Assurance Pipeline is to ensure the integrity and quality of data used in supply and demand forecasting within the Defense and Aerospace industry. The pipeline ingests data from various sources, including ERP systems, sensor data, and logistics databases. The ingestion process involves extracting raw data, followed by a series of transformation steps that include data normalization, validation checks, and quality assessments. Quality controls are implemented through automated tests that evaluate data accuracy, completeness, and consistency against predefined standards. Additionally, lineage tracking and cataloging processes are integrated to maintain a comprehensive record of data provenance, ensuring traceability throughout the data lifecycle. The validated data is then securely stored in a data lake, which employs role-based access controls to protect sensitive information. Outputs from this pipeline include high-quality datasets ready for analysis, detailed quality reports, and lineage documentation. Monitoring key performance indicators (KPIs) such as data validation rates and processing times is essential for maintaining operational efficiency and ensuring compliance with industry standards. The business value of this DAG lies in its ability to provide reliable data for decision-making, enhance operational transparency, and support compliance with regulatory requirements in the Defense and Aerospace sector.

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

Use cases

• Improved data quality enhances forecasting accuracy
• Increased operational transparency through data lineage
• Reduced risk of compliance violations with robust controls
• Streamlined data management processes save time and resources
• Enhanced decision-making capabilities with reliable data insights