Global Job Placements Decoded: Transforming Corrupted Recruitment Data into Reliable Workforce Intelligence
A Global Job Placements Dataset into Executive-Ready Analytics Using SAS DATA Step, PROC SQL, and R Introduction Imagine a multinational recruitment organization managing placement records across 50 countries. Executive leadership notices that placement rates reported in dashboards differ significantly from regional reports. A detailed audit uncovers serious data quality problems: Duplicate Placement IDs causing inflated hiring numbers. Missing joining dates affecting placement timelines. Negative salary values due to system-entry mistakes. Candidate ages recorded as 5 and 180. Emails missing "@" symbols. Region values stored as APAC, Asia Pacific, asia_pacific, and AP. Mixed upper/lowercase employer names. Invalid timestamps causing reporting failures. NULL values stored as text. Trailing spaces creating duplicate candidate profiles. The result? AI hiring prediction models become unreliable. Execut...