Mission statement
Keep yourself updated on how Avaloq complies with GDPR and PDPO.
Course description
This course describes the Automated Personal Data Management (APDM) add-on module. This module provides a rule-based set of features to automatically detect the dependencies between objects and their associated orders when personal data needs to be wiped to comply with data protection regulations, such as GDPR in the EU and PDPO in Hong Kong.
The APDM add-on module provides a rule-based set of features to automatically detect the dependencies between objects and their associated orders when personal data needs to be wiped in order to comply with data protection regulations.
Participants are expected to complete and submit a theoretical exercise which prepares them for the hands-on exercises during the live (virtual) training at the end of the course. Accreditation points are conditional on the timely submission of the theoretical exercise and participation in the virtual class.
This course was offered as Delta 2019H1 and has been converted to an elective for accreditation and enhanced with updated content and interactive videos.
This course is for people who have not attended the Delta 2019H1 course or want to update their knowledge.
de la Vega, Annette
On successful completion of this course participants will be able to:
- Describe the main concepts of the Automated Personal Data Management (APDM) functionality
- Explain the design-time and run-time components of APDM
- Customize an APDM solution
Participants must be ACCP certified or have equivalent knowledge of the Avaloq Banking System. Only Avaloq Certified Customization Professionals will receive accreditation points.
Overview
28/11/2025 – 28/11/2025
3 events
4-6 hours of self-study, 4-6 hours of instructor-led training
Online
English
Max. 12
Subjects
30 Education Points Avaloq Certified Customization Professionals Data Protection Regulations - GDPR and PDPO Elective courses CE(S)TEvents
2025
Sun
16
Nov
Self-study access
09:00 - 18:00
Wed
26
Nov
Self-study assessment deadline
09:00 - 18:00
Fri
28
Nov
GDPR - Class day
09:00 - 18:00