Business Intelligence and Data Engineering: Automating Data Ingestion

Abstract

In today’s fast-paced business landscape, organizations rely on accurate and timely data to make informed decisions. This increasing dependence on data makes Business Intelligence (BI) and Data Management crucial for operational efficiency and growth. However, managing vast amounts of data from diverse sources, integrating it into centralized systems, and ensuring its accessibility and accuracy can become complex.

This is where automating data feeds, particularly in Business Intelligence systems like SAP BI Platform and Domo and setting up robust Data Engineering pipelines come into play. These tools and techniques not only help in streamlining data processes but also support businesses in generating pertinent insights that drive actionable outcomes.

In this article, we’ll focus on the automation of outdated access reports and data feeds, the significance of setting up Data Engineering processes, the role of SAP BODS ETL (Extract, Transform, Load) tool in this context, and how to create a unified data repository to support business insights.