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Warning
titleDo not disclose publicly

 

Status
colourYellow
title13.07.2023
The Charts feature is about to be decommissioned in the following weeks. This page is kept accessible for Archiving purposes only.

Please do not advertise this feature to our customers.


Info
titleWhy we decommission this feature

As part of our ongoing system optimization, we have conducted extensive reviews and analyses of feature utilization within our platform.

It has come to our attention that the 'Charts' feature, though offering unique functionalities to detect suspicious activities around tickets transfers, has not been widely utilized by our customer base.

Furthermore, this feature which is still in BETA for more than one year places a significant load on the system, thus impacting the overall performance.

Considering this, and to ensure the smooth operation of our services especially during the high-demand summer period, we have taken the decision to decommission the 'Charts' feature.

This decision was not made lightly but was driven by our commitment to provide the most efficient and streamlined service to our customers.

Please be advised that the feature will be deactivated progressively, organizer by organizer, in agreement between Professional Service and Geo relays until being permanently removed after their summer operations.

We understand that there may be some customers who have found this feature useful, and we apologize for any inconvenience this may cause.

Our team is currently working on developing new, efficient, and lightweight data analytics features that will significantly bring values based on spectators’ data while safe keeping the overall system performance and user experience.

If you have any questions or concerns, or if you need help navigating our platform without the 'Charts' feature, we are more than willing to assist you.


The Charts page is an advanced feature in the TIXNGO system (currently work on demand on Production only), that shows organizers a graphical representation of the life cycle of their tickets, per event. This feature makes use of our Machine Learning algorithm to give trust scores to each user and detect fraudulent behavior. 

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