{"id":13544,"date":"2026-02-03T11:56:39","date_gmt":"2026-02-03T10:56:39","guid":{"rendered":"https:\/\/www.arcadsoftware.com\/dot\/?p=13544"},"modified":"2026-02-03T14:42:02","modified_gmt":"2026-02-03T13:42:02","slug":"synthetic-data-or-anonymized-data-which-method-should-you-choose","status":"publish","type":"post","link":"https:\/\/www.arcadsoftware.com\/dot\/resources\/blog-en\/synthetic-data-or-anonymized-data-which-method-should-you-choose\/","title":{"rendered":"Synthetic data or anonymized data: which method should you choose?"},"content":{"rendered":"

\"Donn\u00e9es<\/span><\/div><\/div><\/div>

By Guillaume Donnadieu \u00b7 January 28, 2026<\/p>\n<\/div><\/div><\/div><\/div><\/div>

Protecting privacy has become a central issue for all organizations that use data. In this context, anonymized data <\/b>has emerged as a go-to solution.<\/p>\n

Data that's been anonymized from actual datasets<\/b> provides a degree of trustworthiness and practical applicability that purely synthetic data<\/b> hasn't yet been achieved. Here's the reasoning.<\/p>\n<\/div><\/div><\/div>