A leading academic institute was experiencing significant growth in their data volume and wanted to digitize their preclinical study (in-vivo & ex-vivo) data. They had several students and scientists conducting studies and analyzing them with very little automation. The institute wanted to integrate their data across the study life cycle, create a harmonized repository for ongoing and completed studies, and automate their data collection and analytics capabilities