Development of an ETL-Pipeline for Automatic Sustainability Data Analysis

Abstract

Summary. As the scientific community and organizations increase their investments in sustainable development, the phrase is increasingly being used deceptively. To be sustainable, one must examine all three aspects, namely environmental, social, and economic. The release of sustainability reports has generated a vast amount of data regarding company sustainability practices. This data demands time and effort to evaluate and extract meaningful information. This research aims to create criteria that include a list of keywords for analyzing sustainability reports. Using these criteria, a proposed application based on the concepts of Extract, Transform, Load (ETL) was developed to automatize the process of data analysis. The results generated by the ETL tool can be used to conduct qualitative and quantitative assessments of the organization’s sustainability practices as well as compare the transparency in sustainability reporting across different industries.