Customer Data Scoring & Data Privacy Using KNIME WebPortal

This talk was first presented at KNIME Fall Summit 2020. For further context, please download the slide deck.

The goal in this project was to anonymize and automate credit card data and enable financial services companies to perform their own “self-service” analytics while ensuring privacy is maintained.

  • Requirements: A tool that is open source, extendible, and that offers Guided Analytics and blueprints as they didn’t want to write their own workflows from scratch. KNIME was a good fit
  • Challenges: Authorization in an integrated solutions architecture has serious authentication challenges!
  • Set-up: Multiple KNIME Executors and KNIME WebPortal
  • Results: Several hundred financial institutions can now access the solution through the WebPortal
KNIME Fall Summit 2020 Talk
Customer Data Scoring & Data Privacy Using KNIME WebPortal

James Grimes from Truata explains how they are anonymizing and automating credit card data and enabling financial services companies to perform their own self-service analytics while ensuring privacy is maintained.