High Tech — Sales and Inventory Data Ingestion for Demand Forecasting

Overview

The primary purpose of this DAG is to facilitate the ingestion of critical sales and inventory data from multiple sources, including ERP systems, CRM platforms, and CSV files containing historical sales records. By normalizing and validating the ingested data, the DAG ensures high-quality inputs for subsequent demand forecasting processes. The architecture consists of a data pipeline that begins with data extraction from the specified sources, followed by a series of processing steps that includ

The primary purpose of this DAG is to facilitate the ingestion of critical sales and inventory data from multiple sources, including ERP systems, CRM platforms, and CSV files containing historical sales records. By normalizing and validating the ingested data, the DAG ensures high-quality inputs for subsequent demand forecasting processes. The architecture consists of a data pipeline that begins with data extraction from the specified sources, followed by a series of processing steps that include data normalization, validation, and quality control checks to verify data integrity. Once the data is processed, it is stored in a centralized data warehouse, making it readily available for advanced analytics and forecasting models. Key performance indicators (KPIs) are monitored throughout the pipeline to ensure data quality and processing efficiency, including data accuracy rates and processing time metrics. The business value of this DAG lies in its ability to provide reliable data for demand forecasting, enabling organizations in the high-tech sector to make informed decisions, optimize inventory levels, and improve overall operational efficiency.

Part of the Market & Trading Intelligence solution for the High Tech industry.

Use cases

• Improves demand forecasting accuracy for better inventory management.
• Reduces operational risks through high-quality data ingestion.
• Enhances decision-making with reliable sales insights.
• Optimizes resource allocation based on accurate forecasts.
• Supports strategic planning with comprehensive data analysis.