455.Mastering Date & Time Handling in SAS for Global Tech Projects
From Chaos to Clarity: Mastering Date & Time Handling in SAS for Global Tech Projects 1. Introduction Imagine you are working as a SAS programmer in a global technology company handling data from large-scale infrastructure projects AI deployments, cloud migrations, smart cities, and telecom expansions. The dataset arrives from multiple countries: India, USA, Germany, and Japan. Everything looks fine until you start analyzing it. Suddenly, you see: Project start dates like 2023-13-01 Completion dates earlier than start dates Missing timestamps Duplicate project IDs “NULL” written as text instead of missing values This is not uncommon. Whether in clinical trials (SDTM/ADaM datasets) or business analytics, dirty data silently destroys decision-making . A wrong date can: Delay drug approvals Miscalculate revenue timelines Break regulatory submissions This is where tools like SAS and R become powerful. They don’t just analyze data they ...