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01-08-2019 08:39 AM
When we run through normalization, we end up with a lot of discovery models either Normalized but Edition cannot be automatically discovered, Partially Normalized, or Publisher Normalized. The recommended action is to manually update these records. We have hundreds, if not thousands of new discoveries each day that have models that fall into these two scenarios. We don't have the ability to manually modify all these records. We would like to run pattern normalization rules to resolve these issues, but the pattern normalization rules only run when the status = Match Not Found. What is the recommended approach to get partially normalized items updated automatically, especially when pattern normalization rules would work in most situations?
Solved! Go to Solution.
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01-15-2019 09:33 AM
We are opted-in to the ServiceNow content delivery service. It seems our asset team has been sending these partially normalized discovery models to the content curation team and now are getting much better results. They just indicated to me that this issue has been resolved.
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01-08-2019 05:11 PM
Are the hundreds of partially normalised discovery models associated with licensable products ?
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01-09-2019 06:49 AM
Yes, they are.
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01-11-2019 12:03 AM
It would be useful if you provided some context. What discovery systems are you using ? Which products are only normalising the discovered Publisher value and not the Product ? FWIW, I know from experience that SCCM is not particularly good at returning Edition information.
To have thousands of discovery models associated with licensable products that aren't getting normalised via rules in the SAM Content Library is an obvious cause for concern - especially when you need to calculate license positions for such products - and we need to dig a bit deeper to understand why this is happening.
Thanks,
Mike Whalley
ServiceNow
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01-14-2019 05:16 PM
Also, are you opted-in to the ServiceNow Content Delivery service ? If so, you can send the partially normalized licensable discovery models to our content curation team, who will fully normalize them for you.