Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is constrained by the risk of disclosing PII. We present a machine-learning solution that significantly reduces the risk of revealing PII when sharing browsing data.
Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is constrained by the risk of disclosing PII. We present a machine-learning solution that significantly reduces the risk of revealing PII when sharing browsing data.
Keynote speech from Susan Morgan, Senior Program Officer, Open Society Foundation.
Only one year left before Europe's General Data Protection Regulations comes into force. This massive legislation address all organisations collecting and using personal data originating from the EU. With fines of up to 4% of annual global turnover or 20m EUR, whichever is highest, the cost of non-compliance can be huge! To help you get ready, we've been looking at the practical requirements needed to build a GDPR-compliant framework that works for research and analytics. We want to share with you how our new programme, ESOMAR Plus, can support your journey towards GDPR Compliance.
Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is constrained by the risk of disclosing PII. We present a machine-learning solution that significantly reduces the risk of revealing PII when sharing browsing data.
Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is constrained by the risk of disclosing PII. We present a machine-learning solution that significantly reduces the risk of revealing PII when sharing browsing data.
Keynote speech from Susan Morgan, Senior Program Officer, Open Society Foundation.
Only one year left before Europe's General Data Protection Regulations comes into force. This massive legislation address all organisations collecting and using personal data originating from the EU. With fines of up to 4% of annual global turnover or 20m EUR, whichever is highest, the cost of non-compliance can be huge! To help you get ready, we've been looking at the practical requirements needed to build a GDPR-compliant framework that works for research and analytics. We want to share with you how our new programme, ESOMAR Plus, can support your journey towards GDPR Compliance.
