Hi,
I only see 2 options, one to make the excel file "more cleaver" or allow end user to use application import for that object structure.
The advantage with application import is that if there is one error it will block the loading for that file in total so even if row 1 to 4000 where ok nothing
will be loaded if there is an error in row 4001.
Disadvantage is that application import is often limited to for example 5000 rows so are there big amounts you need to split up the file in multiple files.
We use mxloader but run some checks on the content before we start loading that the data is correct
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Agron Basha
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Original Message:
Sent: Sat January 23, 2021 03:16 AM
From: User1971
Subject: Techniques for successful data loading?
My organization has a process for loading data from Excel into Maximo (as part of a new Maximo implementation project).
1. Users fill in custom excel templates.
- Users find this extremely difficult for complex/vertical data structures like classifications and inventory.
2. Users email the templates to technical experts.
3. Technical experts copy the template data into MxLoader.
5. Technical experts load from MxLoader into Maximo.
6. The data load inevitably fails (has a litany of errors).
7. Technical experts email an Excel list of the errors to users.
8. Users review and try again. The process is repeated many, many times. And we never really get the data load right.
I absolutely hate this process. You couldn't design a more inefficient process if you tried.
(Note: the problem isn't with MxLoader. The problem is the process.)
Question:
Does anyone have any techniques they could share that has proven to make data loading less painful?
For example, I came across a product called MaXLS that lets users copy a range of cells from Excel and paste them directly into Maximo (via a grid in Maximo). That sounds interesting to me. More info here and here.
I'm interested to hear what has worked well for people. Thanks!
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