02 New Customer Data Anonymization - Deployment

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This workflow demonstrates how to anonymize identifying and quasi-identifying attributes of new customer data in consistence with the existing anonymized data. Additionaly, the workflow shows how to load anonymized data to a data mart for the further privacy risks free analysis by business users, e.g., by marketing team, and how to re-evaluate the re-identification risks after the new data became available.

Nodes

• Value Lookup3 ×
• Date&Time to String2 ×
• Number To String2 ×
• Table Reader2 ×
• Anonymity Assessment1 ×
• Anonymization1 ×
• CASE Switch Start1 ×
• Concatenate1 ×
• DB Reader (Labs)1 ×
• DB Table Selector (Labs)1 ×
• DB Writer1 ×
• Date&Time Configuration1 ×
• Hierarchy Reader1 ×
• Rule Engine Variable1 ×
• SQLite Connector (Labs)1 ×
• Send Email1 ×
• Table Column to Variable1 ×
• Table Row to Variable1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Database
• FeatureKNIME Javasnippet
• FeatureKNIME Quick Forms
• FeatureRedfield Privacy Nodes

Links

• No links available