Cracking Nielsen's ETL: From 20 Days to 3
Faster POS data: cutting Nielsen ETL from 20 days to 3.
While at P&G Canada, Arturo rebuilt Nielsen's POS ETL, bypassing its slow and failure-prone UI with direct ODBC automation. This gave sales and planning teams faster access than even Walmart — turning data bottlenecks into competitive advantage.
El Desafío
The Nielsen data pipeline was a major bottleneck:
- Downloads took up to 20 days through the standard UI
- Frequent failures and timeouts required constant restarts
- Sales and planning teams operated with stale data
- Competitors with faster data access were gaining ground
Nuestro Enfoque
We bypassed the limitations with direct automation:
- Reverse-engineered Nielsen backend via ODBC connection
- Built automated pipeline using KNIME and VM infrastructure
- Implemented cron scheduling for continuous extraction
- Distributed refreshed datasets weekly to P&G Walmart team
El Resultado
The automation transformed data access across the organization:
- SLA reduced from 20 days to just 3 days
- Sales teams sold with fresher data than competitors
- Walmart Category Captaincy secured in Oral, Fem & Baby Care
- ~$5M annual POS uplift attributed to faster insights
Lo Que Dice el Cliente
Arturo aprendió nuevas tecnologías rápidamente y las aplicó a problemas del negocio—rediseñó nuestra extracción masiva de datos para que fuera 10× más rápida en menos de dos meses, y después permitió que otros escalaran el mismo enfoque.
Aamir Mohatarem
Senior Manager - Business Analytics, Procter & Gamble
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