Data validation for Partners
Overview
We are introducing a new data staging process, enabling both developers and owners to verify and approve datasets before delivery.
The system will facilitate error handling, validation checks, and customization, ensuring accuracy and reliability.
It will help everyone save time, reduce the number of open tickets, and keep the needed level of quality to maintain the level of quality we want.
How does it work?
Once the dataset snapshot is ready, we run its validation tests.
The customer will get the dataset snapshot with an indication on the CP that all test was passed.
The customer will get the dataset snapshot with an indication on the CP that all test was passed.
The partner will review the issues and will choose:
- To fix the failed tests
- To deliver the snapshot as it is to the customer (with an explanation of why this test failed but still override).
The customer can then decide (per fail test or as a batch):
- If he is willing to accept it as it is
- Accept it as it is only for this specific snapshot
- Reject it and return it to the partner to fix what needs to be fixed
Once the customer approves, the snapshot goes to the delivery phase.
The validation tests
Main components and functionality
When clicking on the specific snapshot to review it
Communications and notifications
Status changes and additional notifications will be presented to you as a megaphone on the CP.
Tickets and bugs
Now, once we introduce the staging process, fixing a collector is not the end of the bug/issue
The process consists of two steps:
- Fix the collector
- Fix the snapshot
Hence, the bug processing workflow will be amended to align with the new 2-step process.
Changes to the flow:
We are removing the “Resolve” button from the option on the ticket
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