{ "media_type": "text", "post_content": "With all of the new privacy laws coming in related to restricting Personally Identifiable Information (PII) via GDPR and CCPA, I'm finding lots of difficulty in managing what data to keep and how, while also making sure we still have access to necessary data to make business decisions and insights. \n\nProblems typically revolve around assigning access, figuring out ETL processes that don't store/display PII, and looking at analytics w/o PII.\n\nHow have you handled this at your company?", "post_id": "5ff16c8439b85b00228100a7", "reply_count": 5, "vote_count": 3, "bowl_id": "5ace5097be6e660013abcc42", "bowl_name": "Data & Analytics Consultants", "feed_type": "bowl" }

With all of the new privacy laws coming in related to restricting Personally Identifiable Information (PII) via GDPR and CCPA, I'm finding lots of difficulty in managing what data to keep and how, while also making sure we still have access to necessary data to make business decisions and insights. Problems typically revolve around assigning access, figuring out ETL processes that don't store/display PII, and looking at analytics w/o PII. How have you handled this at your company?

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Dedicated team handles requirements and approvals. Infra team ensures datamart(s) get, aggregate, and remove PII as needed, per above requirements. BI and DS teams help specify what's useful to aggregate (to keep as anonymized data). If the company is extra careful, BI and DS are altogether the only ones who can get access to the datamart(s). To top that off, everyone who has even heard the word "data" gets basic compliance training to not use PII unless critical in the function (can't email a lead without their email...) and to not keep the details after--infra team can't purge things copied outside the infrastructure. May also be appropriate to keep PII in a separate place for other compliance, but that's murky legal-only water.

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Honestly, this kind of stuff should be handled by professionals - lawyers and data privacy specialist. Especially in Europe the consequences of messing this up are severe. No place for a data analytics or science team to get exposed. So: Either involve or create the appropriate functions in your organization or get outside specialist help.

Well, I’d say that depends. I can’t do anything without approval from our data privacy office (legal dept)

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