This article takes you through the normalisation of data uploaded in the platform.
Step By Step
When you first upload server data into the AppScore platform any unmatched datapoints will be shown with a red highlighted field stating '* Required'. On the first import there will appear to be a lot of unmatched data however, this can be quickly resolved using the bulk matching feature. Future imports, once items like the data centre and environment names are loaded in AppScore, will be auto-matched.
To close the gaps and normalise the data go to:
Portfolio (Tab) - Servers (Drop Down) - Server Inventory (Sidebar)
Click on a red '* Required' field and use the Matching screen to associate the data from the load with the AppScore reference data.
The example above shows an Operating System match, AppScore's intelligent matching system provides you with a reduced list of likely matches. Choose the best match from these suggestions.
The Update Options selection at the bottom allows you to apply this match to a single server, or multiple servers at once. This enables you to cleanse data at scale within AppScore.
Some fields may require you to generate a new element. For example with data centres or environments, if a new one is in the upload file or import that hasn't previously been generated, you can create the new element of data within this same pop up as shown in the example below.
To save time processing data in spreadsheets, we recommend normalising your data once uploaded into the platform.
To contact AppScore sales or support for any reason at all, simply email firstname.lastname@example.org and one of the team will get back to you. If your issue is urgent, please mark the email as URGENT in the subject line.