Problem Solving › Data Analysis
Dati sporchi: 30% di record con anomalie prima della migrazione · Data Analysis · Advanced
Before migrating the customer database you find that of 200,000 records, 30% have issues: future birth dates, duplicate emails with different casing, negative amounts, cities spelled ten ways, empty fields. The project wants to migrate everything Monday. Cleaning all by hand is impossible, but migrating the mess propagates it downstream. With limited time and resources, how do you set up a data quality strategy that's rigorous yet realistic?
Prima di migrare il database clienti scopri che su 200.000 record il 30% ha problemi: date di nascita nel futuro, email duplicate con maiuscole diverse, importi negativi, città scritte in dieci modi, campi vuoti. Il progetto vuole migrare tutto lunedì. Pulire tutto a mano è impossibile, ma migrare la sporcizia la propaga a valle. Con risorse e tempo limitati, come imposti una strategia di qualità dei dati che sia rigorosa ma realistica?
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