Executive Gifts, Broken Data & Compliance Risks: Advanced Clinical-Style Data Cleaning Workflows in SAS and Modern R
Expensive Gifts in World Data into Trusted Analytical Intelligence Using Advanced SAS (PROC SQL vs DATA Step) and Modern R Engineering Frameworks Introduction In enterprise analytics, dirty data is not just a technical inconvenience it is a business disaster waiting to happen. Imagine a luxury retail company tracking ultra-expensive gifts purchased by global celebrities, royal families, pharmaceutical executives, and high-net-worth investors. The company combines transactional data with healthcare loyalty programs, insurance-backed luxury coverage, and banking fraud-risk systems. One morning, executives discover catastrophic inconsistencies: Duplicate gift transaction IDs inflated quarterly revenue. Missing shipment dates triggered insurance claim rejections. Negative billing amounts created accounting losses. Invalid email addresses caused customer communication failures. Corrupted region codes broke dashboards. Luxury category mismatches conf...