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Customers need better information when loading data and they need it sooner. Some things get flagged, like if it fails due to incorrect dates, but many other things do not easily reveal the cause of the data loading error. You've got to go to delivery logs, loading logs, pause errors and it feels like you're going to navigate through multiple areas to try and ascertain what the problem is. It would be nice to have a function to make it easier to identify what went wrong, and so you can set up certain rules, like deviation rules such as allowing 10% or 20% variance, etc.
Idea priority | High |
Needed By | Quarter |
IBM Wide Managed Tags: Ideas | Source: Customer, Market: EMEA - NCEE |
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We are currently working on several enhancements which will deliver some of the functionality mentioned in this ticket.
The ability to configure account style variance rules is on track to be released in Q1 2025. These rules will trigger alerts at the time of data entry (manual or file load). Initially this feature will be available to IBM Envizi partners, implementation consultants and support teams. But we are planning to make this available to client system administrators in Q2 2025.
We are making some general enhancements to Data Flow Automation to provide more transparency for files with parse errors and load errors. These enhancements are on track to be released in Q1 2025 and further improvements are being planned throughout the year.
I agree. would be nice to have a more robust error system as well as having this data available via the API also.
Clear indication of accounts with missing data after a bulk upload would also be very helpful.