The Power of Data: How ETL Reshaped Data Management

Abstract

Effective data management is essential for businesses beyond the supply chain because it influences decision-making, customer experience, marketing strategies, product development, operational efficiency, compliance, and risk mitigation. By recognizing the significance of data and implementing robust data management practices, companies can unlock valuable insights, drive innovation, and maintain a competitive advantage in the digital age. ETL is a process used to collect data from various sources. Its implementation could unlock business potential by automating data-driven insights. By harnessing the capabilities of ETL, organizations can overcome data fragmentation, achieve data integrity, and gain a competitive edge in today's data-centric landscape. The objective of this paper is to demonstrate how the extraction, transformation and loading of sales for a bulb manufacturer was automated. In which there was a record of more than 2,000 weekly sales orders both in physical stores and on the website. Performing this task manually presents several challenges, however, through ETL it was automated to collect specific information from all stores in a single repository in a matter of seconds.

Keywords

• API
• Database Client
• Data Model
• Data Warehouse
• Entity Relationship Diagram
• SQL