The Challenge
The customer, a Swiss bank, was faced with the task of identifying and classifying personal identifying data from over 100 applications and then securely anonymizing or deleting it. The information was spread across numerous tables and columns. The implementation had to be carried out efficiently, securely and within a tight timeframe without affecting system performance.
Our solution
We quickly developed a deletion framework that automatically anonymizes and deletes personal data in a complex data model.
The framework offers:
- Audit functions for transparent tracking of every deletion process
- Clear logging of the status and results
- Robust error and exception handling mechanisms to ensure data integrity
Customers control the framework centrally via an interface developed with Oracle APEX and receive an intuitive visualization of the activities. The decentralized deletion logic enables precise processing without complicated or difficult-to-maintain code.
The customer now complies with Switzerland’s stricter data protection regulations and can carry out data deletion processes securely, consistently, and without system downtime. The solution saves resources, protects system performance even with large volumes of data, and prevents unintended data loss. Thanks to the rapid onboarding of the four experienced HyPlus employees, the internal team was able to meet its tight deadline while simultaneously focusing on other business-critical tasks. The close collaboration, high level of expertise, and clear communication led to a significant increase in efficiency and quality throughout the entire project.The result
The customer now complies with Switzerland’s stricter data protection regulations and can carry out data deletion processes securely, consistently, and without system downtime. The solution saves resources, protects system performance even with large volumes of data, and prevents unintended data loss. Thanks to the rapid onboarding of the four experienced HyPlus employees, the internal team was able to meet its tight deadline while simultaneously focusing on other business-critical tasks. The close collaboration, high level of expertise, and clear communication led to a significant increase in efficiency and quality throughout the entire project.
TL;DR: The most important points in a nutshell
The most important facts at a glance
- Compliant implementation of stricter Swiss data protection requirements
- Central framework + decentralized deletion logic for maximum flexibility
- Transparent auditing of all deletion processes
- Gentle processing of large amounts of data without any loss of performance
- High level of relief for the internal team and on-time project completion
Technologies & Methods
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Scrum
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ER modeling
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Oracle APEX
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Oracle SQL Developer & Data Modeler
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Visual Studio Code
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Gitlab
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