Credigy's Data Processing Improvement with EasyMorph

This case study outlines how Credigy enhanced its data processing capabilities and increased the time available for data analysis by implementing EasyMorph. The document details the challenges faced by Credigy, a specialty finance company, in managing diverse data formats and the inefficiencies in their previous data handling methods. It describes the transition to EasyMorph, which provided a low-code/no-code solution that allowed business users to automate data workflows without extensive IT support. The case study highlights the significant reduction in time-to-decision, moving from days to minutes, and the creation of nearly 100 automated workflows by users across various departments. It emphasizes the benefits of a common data language established through EasyMorph, which standardized processes and improved data ingestion and transformation. The document concludes with insights into the future goals of Credigy, including the potential integration of machine learning models to further automate data ingestion processes.